🧢🕶️🥼👖👟🧳 A curated list of cool resources about GenAI-Fashion, including 📝papers, 👀workshops, 🚀companies & products, ...
Feel free to send a PR or open an issue.
The structure of the category follows fAshIon after fashion: A Report of AI in Fashion
graph LR
GenAIFashion[GenAI-Fashion]
GenAIFashion --> Overview[Overview]
GenAIFashion --> Evaluation[Evaluation]
GenAIFashion --> BasicTech[Basic Tech]
GenAIFashion --> Selling[Selling]
GenAIFashion --> Styling[Styling]
GenAIFashion --> Design[Design]
GenAIFashion --> Buying[Buying]
BasicTech --> VisionLanguage[Vision Language]
BasicTech --> Parsing[Parsing]
BasicTech --> SegmentationRecognition[Segmentation, Recognition]
BasicTech --> Detection[Detection]
BasicTech --> PoseEstimationTracking[Pose Estimation, Tracking]
Selling --> Retrieval[Retrieval]
Selling --> SellingAgent[Selling Agent]
Selling --> VideoGeneration[Video Generation]
Styling --> CompatibilityLearning[Compatibility Learning]
Styling --> OutfitRecommendation[Outfit Recommendation]
Design --> FashionDesignSynthesis[Fashion Design Synthesis]
Design --> TryOn[Try-On]
Design --> Editing[Editing]
Design --> DesignAgent[Design Agent]
Design --> 3DSynthesis[3D Synthesis]
Design --> 3DReconstruction[3D Reconstruction]
Design --> 4DSynthesis[4D Synthesis]
Buying --> TrendAnalysis[Trend Analysis]
Buying --> KnowledgeExtraction[Knowledge Extraction]
- 👀Workshops
- 🚀Companies, Products
- Researchers
- Industry Reports
- Other FashionAI Resources
- Other GenAI Resources
Summary developments of technology
Title | Publication | Paper | Type | Region |
---|---|---|---|---|
A Comparative Study of Garment Draping Techniques | Preprint 2024 | paper | Overview | India |
A Survey of Artificial Intelligence in Fashion | IEEE Signal Process. Mag. 2023 | paper | Overview | Taiwan (China) |
AI Assisted Fashion Design: A Review | IEEE Access | paper | Fashion Design | China |
Computational Technologies for Fashion Recommendation: A Survey | ACM Comput. Surv. | paper | Fashion Recommendation | Hong Kong (China) |
A Review of Modern Fashion Recommender Systems | ACM Comput. Surv. | paper | Fashion Recommendation | Italy |
A survey on Fashion Image Retrieval | ACM Comput. Surv. | paper | Fashion Retrieval | India |
Appearance and Pose-Guided Human Generation: A Survey | ACM Comput. Surv. | paper | Fashion Generation | Hong Kong (China) |
Analytics Applications in Fashion Supply Chain Management—A Review of Literature and Practice | IEEE Trans Eng Manag | paper | Fashion Supply Chain | Germany |
Deep Learning Approaches for Fashion Knowledge Extraction From Social Media: A Review. | IEEE Access 2022 | paper | Fashion Knowledge Extraction | Italy |
Defining digital fashion: Reshaping the field via a systematic review | Comput. Hum. Behav. 2022 | paper | Digital Fashion | South Korea |
A Review of AI (Artificial Intelligence) Tools and Customer Experience in Online Fashion Retail | Int. J. E Bus. Res. 2022 | paper | Fashion Retail | India |
Fashion Meets Computer Vision: A Survey. | ACM Comput. Surv. 2021 | paper | Overview | Taiwan (China) |
Smart Fashion: A Review of AI Applications in the Fashion & Apparel Industry | Preprint 2021 | paper | Overview | Iran |
fAshIon after fashion: A Report of AI in Fashion | Preprint 2021 | paper | Overview | Hong Kong(China) |
Aesthetics, Personalization and Recommendation: A survey on Deep Learning in Fashion | Preprint 2021 | paper | Overview | China |
Fashion Recommendation Systems, Models and Methods: A Review | Informatics 2021 | paper | Fashion Recommendation | USA |
A Detailed Review of Artificial Intelligence Applied in the Fashion and Apparel Industry | IEEE Access 2019 | paper | Overview | France |
An Overview of Image Recognition and Retrieval of Clothing items | RICE 2018 | paper | Fashion Retrieval | India |
When Multimedia Meets Fashion | IEEE MultiMedia 2018 | paper | Overview | China |
Fashion Analysis: Current Techniques and Future Directions | IEEE MultiMedia 2014 | paper | Overview | Singapore |
Evaluation protocols for specific tasks
Title | Publication | Paper | Link | Region |
---|---|---|---|---|
How Good Is Aesthetic Ability of a Fashion Model? | CVPR 2022 | paper | dataset | Hong Kong (China) |
An Evaluation of Artificial Intelligence Components in E-Commerce Fashion Platforms | WorldCIST 2022 | paper | - | Portugal |
Where are my clothes? A multi-level approach for evaluating deep instance segmentation architectures on fashion images | CVPRW 2021 | paper | - | France |
Assessing Fashion Recommendations: A Multifaceted Offline Evaluation Approach | recsysXfashion 2019 | paper | - | USA |
Understanding of fashion images
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
SyncMask | SyncMask: Synchronized Attentional Masking for Fashion-centric Vision-Language Pretraining | CVPR 2024 | paper | - | South Korea |
FAME-ViL | FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks | CVPR 2023 | -> | project | UK |
FashionSAP | FashionSAP: Symbols and Attributes Prompt for Fine-grained Fashion Vision-Language Pre-training | CVPR 2023 | -> | project | China |
MVLT | Masked Vision-language Transformer in Fashion | MIR 2023 | paper | - | China |
OpenFashionCLIP | OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion Data | ICIAP 2023 | -> | project | Italy |
- | A fine-grained vision and language representation framework with graph-based fashion semantic knowledge | CAD/Graphics 2023 | paper | - | China |
FashionCLIP | Contrastive language and vision learning of general fashion concepts | Scientific Reports (2022) | paper | code | Canada |
FashionViL | Fashion-Focused Vision-and-Language Representation Learning | ECCV 2022 | -> | project | UK |
Kaleido-BERT | Kaleido-BERT: Vision-Language Pre-Training on Fashion Domain | CVPR 2021 | paper | - | China |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
OMNet | OMNet: Outfit Memory Net for clothing parsing | IJCST 2023 | paper | - | China |
UAM-Net | Unabridged adjacent modulation for clothing parsing | PR 2022 | paper | code | China |
- | Feature fusion network for clothing parsing | IJMLC 2022 | paper | - | China |
CCFNet | CCFNet: Cross-Complementary fusion network for RGB-D scene parsing of clothing images | JVCI 2022 | paper | - | China |
- | Describe Me If You Can! Characterized Instance-Level Human Parsing | ICIP 2021 | paper | - | France |
- | Progressive One-shot Human Parsing | AAAI 2021 | paper | - | Sydney |
SIZER | SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing | ECCV 2020 | paper | project | Germany |
- | Hierarchical Human Parsing With Typed Part-Relation Reasoning | CVPR 2020 | paper | code | Switzerland |
- | Fine-Grained Garment Parsing: A Body Generation Approach | ICME 2020 | paper | - | China |
SP-FEN | Superpixels Features Extractor Network (SP-FEN) for Clothing Parsing Enhancement | NPL 2020 | paper | - | Malaysia |
Look into Person | Look into Person: Joint Body Parsing & Pose Estimation Network and a New Benchmark | TPAMI 2019 | paper | - | China |
- | Holistic, Instance-Level Human Parsing | BMVC 2017 | paper | - | UK |
- | Looking at Outfit to Parse Clothing | Preprint 2017 | paper | - | Japan |
- | Surveillance Video Parsing With Single Frame Supervision | CVPR 2017 | paper | - | China |
- | Enhanced Reweighted MRFs for Efficient Fashion Image Parsing | TOMM 2016 | paper | - | Canada |
- | Clothes Co-Parsing Via Joint Image Segmentation and Labeling With Application to Clothing Retrieval | TMM 2016 | paper | - | China |
- | Parsing Based on Parselets: A Unified Deformable Mixture Model for Human Parsing | TPAMI 2015 | paper | - | Singapore |
- | Retrieving Similar Styles to Parse Clothing | TPAMI 2014 | paper | - | Japan |
- | Fashion Parsing with Video Context | MM 2014 | paper | - | Singapore |
- | Paper Doll Parsing: Retrieving Similar Styles to Parse Clothing Items | ICCV 2013 | paper | - | USA |
- | Fashion Parsing With Weak Color-Category Labels | TMM 2013 | paper | - | Singapore |
- | Parsing clothing in fashion photographs | CVPR 2012 | paper | - | USA |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
- | DETR-based Layered Clothing Segmentation and Fine-Grained Attribute Recognition | CVPRW 2023 | paper | - | Hong Kong (China) |
Fashionformer | Fashionformer: A Simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition | ECCV 2022 | -> | project | China |
Fashionpedia | Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset | ECCV 2020 | paper | - | USA |
- | Segmentation task for fashion and apparel | Preprint 2020 | paper | - | USA |
- | Joint Multi-Person Pose Estimation and Semantic Part Segmentation | CVPR 2017 | paper | - | USA |
DeepFashion | DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations | CVPR 2016 | paper | - | Hong Kong(China) |
- | Who Blocks Who: Simultaneous clothing segmentation for grouping images | ICCV 2011 | paper | - | China |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
- | Improving apparel detection with category grouping and multi-grained branches | Multimedia Tools and Applications 2022 | paper | - | USA |
CoRe | CoRe: Color Regression for Multicolor Fashion Garments | CVPRW 2022 | paper | - | France |
- | Fashion landmark detection and category classification for robotics | ICARSC 2020 | paper | - | Switzerland |
- | Aggregation and Finetuning for Clothes Landmark Detection | Preprint 2020 | paper | code | China |
- | Spatial-aware non-local attention for fashion landmark detection | ICME 2019 | paper | - | China |
- | Layout-Graph Reasoning for Fashion Landmark Detection | CVPR 2019 | paper | - | China |
DeepFashion2 | DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images | CVPR 2019 | paper | - | China |
- | A global-local embedding module for fashion landmark detection | ICCVW 2019 | paper | - | Korea |
- | Unconstrained Fashion Landmark Detection via Hierarchical Recurrent Transformer Networks | MM 2017 | paper | - | Hong Kong (China) |
- | Fashion Landmark Detection in the Wild | ECCV 2016 | paper | - | Hong Kong(China) |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
GarmentTracking | GarmentTracking: Category-Level Garment Pose Tracking | CVPR 2023 | -> | project | China |
GarmentNets | GarmentNets: Category-Level Pose Estimation for Garments via Canonical Space Shape Completion | ICCV 2021 | -> | project | USA |
Online selling
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
M3-Net | Learning Attribute and Class-Specific Representation Duet for Fine-grained Fashion Analysis | CVPR 2023 | paper | - | USA |
- | Dynamic Network for Language-based Fashion Retrieval | MMIR ’23 (MM 2023 workshop) | paper | - | China |
MODC | Fine-grained Fashion Representation Learning by Online Deep Clustering | ECCV 2022 | paper | - | USA |
FashionVLP | FashionVLP: Vision Language Transformer for Fashion Retrieval with Feedback | CVPR 2022 | paper | - | USA |
EI-CLIP | EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval | CVPR 2022 | paper | - | USA |
DAtRNet | DAtRNet: Disentangling Fashion Attribute Embedding for Substitute Item Retrieval | CVPRW 2022 | paper | - | India |
UIGR | UIGR: Unified Interactive Garment Retrieval | CVPRW 2022 | paper | code | UK |
CIRPLANT | Image Retrieval on Real-Life Images With Pre-Trained Vision-and-Language Models | ICCV 2021 | paper | - | Australia |
Fashion IQ | Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback | CVPR 2021 | paper | - | USA |
- | Interpretable Multimodal Retrieval for Fashion Products | MM 2018 | paper | - | Singapore |
DARN | Cross-Domain Image Retrieval with a Dual Attribute-Aware Ranking Network | ICCV 2015 | paper | - | Singapore |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
Fashion-GPT | Fashion-GPT: Integrating LLMs with Fashion Retrieval System | LGM3A '23 (MM 2023 workshop) | paper | - | Singapore |
FashionVQA | FashionVQA: A Domain-Specific Visual Question Answering System | CVPRW 2023) | paper | - | USA |
VSE | Fashion-Specific Ambiguous Expression Interpretation with Partial Visual-Semantic Embedding | CVPRW 2023) | paper | - | Japan |
- | A Conversational Shopping Assistant for Online Virtual Stores | MM 2022 | paper | - | Portugal |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
GPT4Motion | GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning | Preprint 2023 | -> | project | China |
Animate Anyone | Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation | Preprint 2023 | -> | project | China |
wFlow | Dressing in the Wild by Watching Dance Videos | CVPR 2022 | -> | project | China |
ClothFormer | ClothFormer: Taming Video Virtual Try-on in All Module | CVPR 2022 | -> | project | China |
Personal Styling
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
FCBoost-Net | FCBoost-Net: A Generative Network for Synthesizing Multiple Collocated Outfits via Fashion Compatibility Boosting | MM 2023 | paper | - | China |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
CP-TransMatch | Modeling Multi-Relational Connectivity for Personalized Fashion Matching | MM 2023 | paper | - | Hong Kong (China) |
SHIFT15M | SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts | CVPRW 2023) | paper | code | Japan |
BiHGH | Bi-directional Heterogeneous Graph Hashing towards Efficient Outfit Recommendation | MM 2022 | paper | - | Australia |
OutfitTransformer | OutfitTransformer: Outfit Representations for Fashion Recommendation | CVPRW 2022 | paper | - | USA |
OutfitGAN | OutfitGAN: Learning Compatible Items for Generative Fashion Outfits | CVPRW 2022 | paper | - | USA |
GradREC | “Does it come in black?” CLIP-like models are zero-shot recommenders | ECNLP 5(ACL 2022 workshop) | paper | code | Milan |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
StyleMe | StyleMe: Towards Intelligent Fashion Generation with Designer Style | CHI 2023 | paper | code | China |
generative.fashion | Fashioning the Future: Unlocking the Creative Potential of Deep Generative Models for Design Space Exploration | CHI EA 2023 | paper | project | Switzerland |
AI Archive | Generative AI for Concept Creation in Footwear Design | INVITED-TALK (SIGGRAPH 2023) | paper | - | Germany |
UnitedHuman | UnitedHuman: Harnessing Multi-Source Data for High-Resolution Human Generation | ICCV 2023 | -> | project | China |
FreeDoM | FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model | ICCV 2023 | paper | code | China |
BoxDiff | BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion | ICCV 2023 | paper | code | Singapore |
ControlNet | Adding Conditional Control to Text-to-Image Diffusion Models | ICCV2023 | paper | code | USA |
PromptStyler | PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization | ICCV 2023 | -> | project | South Korea |
Diffusart | Diffusart: Enhancing Line Art Colorization with Conditional Diffusion Models | CVPRW 2023 | paper | - | France |
Gatha | Gatha: Relational Loss for enhancing text-based style transfer | CVPRW 2023 | paper | - | USA |
DiffFashion | Image Reference-guided Fashion Design with Structure-aware Transfer by Diffusion Models | CVPRW 2023 | paper | code | China |
VectorFusion | VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models | CVPR 2023 | -> | project, unofficial code | USA |
DiffSketcher | DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models | NIPS 2023 | -> | project | China |
SGDiff | SGDiff: A Style Guided Diffusion Model for Fashion Synthesis | MM 2023 | paper | code | Hong Kong (China) |
FashionDiff | FashionDiff: A Controllable Diffusion Model Using Pairwise Fashion Elements for Intelligent Design | MM 2023 | paper | - | China |
InspirNET | InspirNET: An Unsupervised Generative Adversarial Network with Controllable Fine-grained Texture Disentanglement for Fashion Generation | MM 2023 | paper | - | China |
- | Toward Intelligent Interactive Design: A Generation Framework Based on Cross-domain Fashion Elements | MM 2023 | paper | - | China |
- | Normal-guided Garment UV Prediction for Human Re-texturing | CVPR 2023 | paper | - | USA |
TemporalUV | TemporalUV: Capturing Loose Clothing with Temporally Coherent UV Coordinates | CVPR 2022 | paper | - | Germany |
ARMANI | ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design | MM 2022 | paper | - | China |
AI Carpet | AI Carpet: Automatic Generation of Aesthetic Carpet Pattern | MM 2022 | paper | - | China |
Wearable ImageNet | Wearable ImageNet: Synthesizing Tileable Textures via Dataset Distillation | CVPRW 2022 | paper | project | USA |
Rank in Style | Rank in Style: A Ranking-based Approach to Find Interpretable Directions | CVPRW 2022 | paper | - | Turkey |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
FashionTex | FashionTex: Controllable Virtual Try-on with Text and Texture. | SIGGRAPH 2023 | paper | code | China |
FreqHPT | FreqHPT: Frequency-aware attention and flow fusion for Human Pose Transfer | CVPRW 2023) | paper | - | China |
SAL-VTON | Linking Garment with Person via Semantically Associated Landmarks for Virtual Try-On | CVPR 2023 | paper | project | China |
TryOnDiffusion | TryOnDiffusion: A Tale of Two UNets | CVPR 2023 | -> | project | USA |
GP-VTON | GP-VTON: Towards General Purpose Virtual Try-on via Collaborative Local-Flow Global-Parsing Learning | CVPR 2023 | -> | project | China |
LaDI-VTON | LaDI-VTON:Latent Diffusion Textual-Inversion Enhanced Virtual Try-On | MM 2023 | paper | code | Italy |
DCI-VTON | Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow | MM 2023 | paper | code | China |
PG-VTON | PG-VTON: A Novel Image-Based Virtual Try-On Method via Progressive Inference Paradigm | TMM 2023 | paper | code | China |
DOC-VTON | OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup | TMM 2023 | paper | code | China |
StableVITON | StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On | Preprint 2023 | -> | project | South Korea |
- | A High-resolution Image-based Virtual Try-on System in Taobao E-commerce Scenario | MM 2022 | paper | - | China |
GT-MUST | GT-MUST: Gated Try-on by Learning the Mannequin-Specific Transformation | MM 2022 | paper | - | China |
PL-VTON | Progressive Limb-Aware Virtual Try-On | MM 2022 | paper | - | China |
Dress Code | Dress Code: High-Resolution Multi-Category Virtual Try-On | CVPRW 2022 | paper | project | Italy |
DBCT | Dual-Branch Collaborative Transformer for Virtual Try-On | CVPRW 2022 | paper | - | Italy |
DP-VTON | Towards Detailed Characteristic-Preserving Virtual Try-On | CVPRW 2022 | paper | - | South Korea |
Flow-Style-VTON | Style-Based Global Appearance Flow for Virtual Try-On | CVPR 2022 | -> | project | UK |
RT-VTON | Full-Range Virtual Try-On with Recurrent Tri-Level Transform | CVPR 2022 | -> | project | China, Singapore |
DGP | Weakly Supervised High-Fidelity Clothing Model Generation | CVPR 2022 | paper | - | China |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
Patternshop | Patternshop: Editing Point Patterns by Image Manipulation | SIGGRAPH 2023 | -> | project | Germany |
MGD | Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing | ICCV 2023 | paper | code | Italy |
EditAnything | EditAnything: Empowering Unparalleled Flexibility in Image Editing and Generation | MM 2023 | paper | project | China |
SketchEdit | SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches | CVPR 2022 | -> | project | USA |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
FashionMatrix | Fashion Matrix: Editing Photos by Just Talking | Preprint 2023 | -> | project | China |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
En3D | En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data | Preprint 2024 | -> | project | China |
HairStep | HairStep: Transfer Synthetic to Real Using Strand and Depth Maps for Single-View 3D Hair Modeling | CVPR 2023 | -> | project | China |
ECON | ECON: Explicit Clothed humans Optimized via Normal integration | CVPR 2023 | -> | project | Germany |
DrapeNet | DrapeNet: Garment Generation and Self-Supervised Draping | CVPR 2023 | -> | project | Switzerland |
AnchorDEF | Learning Anchor Transformations for 3D Garment Animation | CVPR 2023 | -> | project | China |
CloSET | CloSET: Modeling Clothed Humans on Continuous Surface with Explicit Template Decomposition | CVPR 2023 | -> | project | China |
- | Clothed Human Performance Capture with a Double-layer Neural Radiance Fields | CVPR 2023 | paper | - | China |
HOOD | HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics | CVPR 2023 | -> | project | Switzerland |
xCloth | xCloth: Extracting Template-free Textured 3D Clothes from a Monocular Image | MM 2023 | paper | - | India |
AvatarFusion | AvatarFusion: Zero-shot Generation of Clothing-Decoupled 3D Avatars Using 2D Diffusion | MM 2023 | paper | project | China |
Control3D | Control3D: Towards Controllable Text-to-3D Generation | MM 2023 | paper | - | China |
SynBody | SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling | ICCV 2023 | -> | project | China |
EVA3D | EVA3D: Compositional 3D Human Generation from 2D Image Collections | ICLR 2023 | -> | project | Singapore |
| ReFU | A Repulsive Force Unit for Garment Collision Handling in Neural Networks | ECCV 2022 | -> | project | USA | | SNUG | SNUG: Self-Supervised Neural Dynamic Garments | CVPR 2022 | -> | project | Spain | | ICON | ICON: Implicit Clothed humans Obtained from Normals | CVPR 2022 | -> | project | Germany | | True Seams | True Seams:Modeling Seams in Digital Garments | SIGGRAPH 2022 | -> | project | USA | | VirtualBones | Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion Networks | SIGGRAPH 2022 | -> | project | China |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
Garment3DGen | Garment3DGen: 3D Garment Stylization and Texture Generation | arXiv 2024 | -> | project | USA |
SewFormer | Towards Garment Sewing Pattern Reconstruction from a Single Image | TOG (SIGGRAPH Asia 2023) | -> | project | Singapore |
GTA | Global-correlated 3D-decoupling Transformer for Clothed Avatar Reconstruction | NIPS 2023 | -> | project | China |
SeSDF | SeSDF: Self-evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction | CVPR 2023 | paper | - | Hong Kong (China) |
SoY | Shape of You: Precise 3D shape estimations for diverse body types | CVPRW 2023) | paper | - | USA |
KBody | KBody: Balanced monocular whole-body estimation | CVPRW 2023) | paper | project | USA |
CAR | High-Fidelity Clothed Avatar Reconstruction from a Single Image | CVPR 2023 | -> | project | China |
DIFu | DIFu: Depth-Guided Implicit Function for Clothed Human Reconstruction | CVPR 2023 | -> | project | South Korea |
NeuralUDF | NeuralUDF: Learning Unsigned Distance Fields for Multi-view Reconstruction of Surfaces with Arbitrary Topologies | CVPR 2023 | -> | project | Hong Kong (China) |
REC-MV | REC-MV: REconstructing 3D Dynamic Cloth from Monocular Videos | CVPR 2023 | -> | project | China |
Get3DHuman | Get3DHuman: Lifting StyleGAN-Human into a 3D Generative Model using Pixel-aligned Reconstruction Priors | ICCV2023 | -> | project | China |
CrossHuman | CrossHuman: Learning Cross-guidance from Multi-frame Images for Human Reconstruction | MM 2022 | paper | - | China |
ReEF | Registering Explicit to Implicit: Towards High-Fidelity Garment mesh Reconstruction from Single Images | CVPR 2022 | -> | project | China |
PHORHUM | Photorealistic Monocular 3D Reconstruction of Humans Wearing Clothing | CVPR 2022 | -> | project | USA |
NeuralTailor | NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of Garments | SIGGRAPH 2022 | paper | - | South Korea |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
WordRobe | WordRobe: Text-Guided Generation of Textured 3D Garments | arXiv 2024 | paper | project | India |
CLOTH4D | CLOTH4D: A Dataset for Clothed Human Reconstruction | CVPR 2023 | -> | project | Hong Kong (China) |
Garment4D | Garment4D: Garment Reconstruction from Point Cloud Sequences | NIPS 2021 | -> | project | Singapore |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
POP | POP: Mining POtential Performance of new fashion products via webly cross-modal query expansion | ECCV 2022 | -> | project | Italy |
Visuelle 2.0 | The multi-modal universe of fast-fashion: the Visuelle 2.0 benchmark | CVPRW 2022 | paper | project | Italy |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
- | Multimodal Fashion Knowledge Extraction as Captioning | SIGIR-AP 2023 | paper | - | Hong Kong(China) |
- | Who, Where, and What to Wear?: Extracting Fashion Knowledge from Social Media | MM 2019 | paper | - | Singapore |
- | Describing Clothing by Semantic Attributes | ECCV 2012 | paper | - | USA |
- Computer Vision for Fashion, Art, and Design (CVPR Workshop): CVFAD 2023, CVFAD 2022
- Multimedia Computing towards Fashion Recommendation (ACM MM Workshop): MCFR 2022
- Machine Learning for Creativity and Design (NeurIPS Workshop): ML4CD 2023, ML4CD 2022
- Creative AI Across Modalities (AAAI Workshop): creativeAI 2023
- recsysXfashion (RecSys Workshop): recsysXfashion 2022, recsysXfashion 2021
Name | Found | Info | News |
---|---|---|---|
CALA | 2016 | fashion supply chain interface that unifies design, development, production, and logistics | 2022.11 |
Zalando Research | 2016 | Research | 2023.04 fashion assistant powered by ChatGPT |
Vue.ai | 2016 | Retail AI analysis, AI avatar | - |
极睿 infimind | 2017 | Fashion Product Content | 2023.11 interview in mandarin |
知衣 zhiyi | 2018 | Fashion Design Collaboration | 2023.08 Fashion Diffusion |
LALALAND | 2019 | AI avatar, Fashion Product Content | 2023.08 collaborate with Browzwear-VStitcher |
PatternedAi | 2021 | Pattern Design | - |
Dsign.Ai | - | Prints and Patterns Design | - |
AIMDE-Symmpix | 2023 | Fashion Pattern, 3D | 2023.11 new feature |
Weshop | 2023 | AI avatar & Fashion Product Content | a subsidiary of MOGU |
Wondershare VirtuLook | 2023 | AI avatar & Fashion Product Content | a subsidiary of wondershare |
Pixelcut | 2022 | AI-powered editing tools(Product Content) | - |
CreatorKit | 2020 | AI Product Content, Videos | - |
DeepImage | 2022 | AI Product Content | - |
Unbound | - | personal AI business assistant | - |
Zeg AI | 2018 | AI Product Content, Videos, 3D Render | - |
- | - | - | - |
Group/Lab/Univ | Researchers |
---|---|
GAP Lab-CUHKSZ | Xiaoguang Han |
HCP-I2 Lab-SYSU | Xiaodan Liang,Zhenyu Xie |
HIT SZ | Haijun Zhang |
AiDlab-PolyU+RCA | Calvin WONG,Xingxing Zou,P.Y.Mok |
MMLab-NTU | Ziwei Liu |
UIUC | Ranjitha Kumar |
AImageLab | Rita Cucchiara |
The University of Utah | Ziad Al-Halah |
Georgia Tech | Devi Parikh |
UT Austin | Kristen Grauman |
Cornell | Kavita Bala |
MPI-IS | Michael Black |
Reports | Organization | Time |
---|---|---|
Generative AI’s Act Two | SEQUOIA | 2023.09 |
How Are Consumers Using Generative AI? | A16Z | 2023.09 |
Outlook for the Global and Chinese Fashion Industry in 2035 | Roland Berger | 2023.08 |
The Complete Playbook for Generative AI in Fashion | Bof | 2023.06 |
Generative AI: Unlocking the future of fashion | McKinsey | 2023.03 |
- Fashion Datasets
- Cool Fashion Papers(Before 2022)
- awesome-fashion-ai
- AI4Design Survey
- image-to-image-papers
- Awesome Virtual Try-on (VTON) Research
- Awesome-pose-transfer
- Human Body Reconstruction
- The Roadmap of Generative AI
- awesome-Ai-tools
- LLM Survey
- LLM-Agent-Paper-List
- Awesome-diffusion-model-for-image-processing
- Multimodal Image Synthesis and Editing: The Generative AI Era
- GAN-Inversion Survey
- A Survey on Deep Generative 3D-aware Image Synthesis
- Awesome 3D Generation
- Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era
- Awesome GenAI Tech