markdown format:
**Here is the Paper Name.**<br>
*[Author 1](homepage), Author 2, and Author 3.*<br>
Conference or Journal Year. [[PDF](link)] [[Project](link)] [[Github](link)] [[Video](link)] [[Data](link)]- (Transformer) Attention Is All You Need
- (ViT) An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
- Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
- (GAN) Generative Adversarial Networks
- (ProgressiveGAN) Progressive Growing of GANs for Improved Quality, Stability, and Variation
- (StyleGAN) A Style-Based Generator Architecture for Generative Adversarial Networks
- (StyleGAN2) Analyzing and Improving the Image Quality of StyleGAN
- (StyleGAN2-Ada) Training Generative Adversarial Networks with Limited Data
- (StyleGAN3) Alias-Free Generative Adversarial Networks
- StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2
- (Normalizing Flow) Variational Inference with Normalizing Flows
- Glow: Generative Flow with Invertible 1x1 Convolutions
3D Morphable Model
- (BFM) Morphable Face Models - An Open Framework
- (FLAME) Learning a model of facial shape and expression from 4D scans
- SMPL: A Skinned Multi-Person Linear Model
Neural Radiance Field
- NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
- (Instant-NDP) Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
- (DietNeRF) Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis
- Point-NeRF: Point-based Neural Radiance Fields
- StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation
- A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
- Layer Normalization
- (SimCLR) A Simple Framework for Contrastive Learning of Visual Representations
- (SimCLR2) Big Self-Supervised Models are Strong Semi-Supervised Learners
Implicit Neural Representation
Super Resolution
- ArcFace: Additive Angular Margin Loss for Deep Face Recognition
- CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition
- GroupFace: Learning Latent Groups and Constructing Group-based Representations for Face Recognition
- SimSwap: An Efficient Framework For High Fidelity Face Swapping
- HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping
- FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains
- One Shot Face Swapping on Megapixels
- ShapeEditer: a StyleGAN Encoder for Face Swapping
- FaceController: Controllable Attribute Editing for Face in the Wild
- High-Resolution Neural Face Swapping for Visual Effects
- FSGAN: Subject Agnostic Face Swapping and Reenactment
- FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
- Towards Open-Set Identity Preserving Face Synthesis
- RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces
- FSNet: An Identity-Aware Generative Model for Image-based Face Swapping
- DeepFaceLab: Integrated, flexible and extensible face-swapping framework
- Deepfakes for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation
- On Face Segmentation, Face Swapping, and Face Perception
- SMILE
- Smooth-Swap
- FaceSwappingGAN
- SberSwap