Neural Rendering Papers

• Multi-view Relighting using a Geometry-Aware Network
• GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering
• IBRNet: Learning Multi-View Image-Based Rendering
• NeuTex: Neural Texture Mapping for Volumetric Neural Rendering
• NeX: Real-time View Synthesis with Neural Basis Expansion
• Neural Scene Graphs for Dynamic Scenes
• Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes
• NeRF−−: Neural Radiance Fields Without Known Camera Parameters
• Learning an Animatable Detailed 3D Face Model from In-The-Wild Images
• RGBD-Net: Predicting color and depth images for novel views synthesis
• Monocular Differentiable Rendering for Self-Supervised 3D Object Detection
• AutoInt: Automatic Integration for Fast Neural Volume Rendering
• Deep Parametric Indoor Lighting Estimation
• Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image
• Continuous Surface Embeddings
• Learned Initializations for Optimizing Coordinate-Based Neural Representations
• A-NeRF: Surface-free Human 3D Pose Refinement via Neural Rendering
• Photorealistic Audio-driven Video Portraits
• NeRF++: Analyzing and Improving Neural Radiance Fields
• Worldsheet: Wrapping the World in a 3D Sheet for View Synthesis from a Single Image
• Extreme View Synthesis
• Deep Multi Depth Panoramas for View Synthesis
• Deep Multi Depth Panoramas for View Synthesis
• Neural Lumigraph Rendering
• HeadGAN: Video-and-Audio-Driven Talking Head Synthesis
• Generative View Synthesis: From Single-view Semantics to Novel-view Images
• Single-Shot Freestyle Dance Reenactment
• MakeItTalk: Speaker-Aware Talking-Head Animation
• Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations
• Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images using a View-based Representation
• NeRD: Neural Reflectance Decomposition from Image Collections
• Mixture of Volumetric Primitives for Efficient Neural Rendering
• Mesh Guided One-shot Face Reenactment Using Graph Convolutional Networks
• Object-based Illumination Estimation with Rendering-aware Neural Networks
• Deformable Neural Radiance Fields
• StyleUV: Diverse and High-quality UV Map Generative Model
• Neural Re-Rendering of Humans from a Single Image
• Portrait Neural Radiance Fields from a Single Image
• NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis
• Modular Primitives for High-Performance Differentiable Rendering
• Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans
• Equivariant Multi-View Networks
• NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
• Learning Illumination from Diverse Portraits
• Leveraging 2D Data to Learn Textured 3D Mesh Generation
• Neural Sparse Voxel Fields
• Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
• DONeRF: Towards Real-Time Rendering of Neural Radiance Fields using Depth Oracle Networks
• Self-supervised Learning of 3D Objects from Natural Images
• PolyGen: An Autoregressive Generative Model of 3D Meshes
• Learning to Shadow Hand-drawn Sketches
• Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation
• Learning 3D Part Assembly from a Single Image
• Image Animation with Perturbed Masks
• GramGAN: Deep 3D Texture Synthesis From 2D Exemplars
• Stable View Synthesis
• Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
• DualSDF: Semantic Shape Manipulation using a Two-Level Representation
• Deferred Neural Rendering: Image Synthesis using Neural Textures
• Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
• Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter
• Neural Contours: Learning to Draw Lines from 3D Shapes
• ShaRF: Shape-conditioned Radiance Fields from a Single View
• Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence
• Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination
• Deep Shading: Convolutional Neural Networks for Screen-Space Shading
• MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere Images
• Revealing Scenes by Inverting Structure from Motion Reconstructions
• C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion
• Layered Neural Rendering for Retiming People in Video
• Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis
• PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations
• Neural Rerendering in the Wild
• Neural Head Reenactment with Latent Pose Descriptors
• Polarimetric Multi-View Inverse Rendering
• One-Shot Identity-Preserving Portrait Reenactment
• LIMP: Learning Latent Shape Representations with Metric Preservation Priors
• A Neural Rendering Framework for Free-Viewpoint Relighting
• Neural Volumes: Learning Dynamic Renderable Volumes from Images
• NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
• Equivariant Neural Rendering
• Neural Unsigned Distance Fields for Implicit Function Learning
• iNeRF: Inverting Neural Radiance Fields for Pose Estimation
• Extending DeepSDF for automatic 3D shape retrieval and similarity transform estimation
• TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting
• Wasserstein Generative Models for Patch-based Texture Synthesis
• Learning a Neural 3D Texture Space from 2D Exemplars
• A Free Viewpoint Portrait Generator with Dynamic Styling
• Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines
• Speech Driven Talking Face Generation from a Single Image and an Emotion Condition
• Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
• Deep Illumination: Approximating Dynamic Global Illumination with Generative Adversarial Networks
• Monocular Real-Time Volumetric Performance Capture
• Neural Point-Based Graphics
• Texture Fields: Learning Texture Representations in Function Space
• GPU-Accelerated Mobile Multi-view Style Transfer
• One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing
• Local Deep Implicit Functions for 3D Shape
• Progressive Pose Attention Transfer for Person Image Generation
• Learning View Priors for Single-view 3D Reconstruction
• Neural Hair Rendering
• DeepSurfels: Learning Online Appearance Fusion
• Portrait Shadow Manipulation
• Image-guided Neural Object Rendering
• Implicit Neural Representations with Periodic Activation Functions
• GLoSH: Global-Local Spherical Harmonics for Intrinsic Image Decomposition
• Text-based Editing of Talking-head Video
• Learning Character-Agnostic Motion for Motion Retargeting in 2D
• DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images
• Human Motion Transfer from Poses in the Wild
• DeepVoxels: Learning Persistent 3D Feature Embeddings
• Articulation-aware Canonical Surface Mapping
• Deep Geometric Texture Synthesis
• DeRF: Decomposed Radiance Fields
• LOGAN: Unpaired Shape Transform in Latent Overcomplete Space
• pixelNeRF: Neural Radiance Fields from One or Few Images
• Deep Radiance Caching: Convolutional Autoencoders Deeper in Ray Tracing
• Neural 3D Video Synthesis
• Learning to Generate Diverse Dance Motions with Transformer
• Adversarial Texture Optimization from RGB-D Scans
• FACEGAN: Facial Attribute Controllable rEenactment GAN
• Deep View Synthesis via Self-Consistent Generative Network
• Semantic Image Synthesis with Spatially-Adaptive Normalization
• Illumination Decomposition for Photograph with Multiple Light Sources
• Towards Geometry Guided Neural Relighting with Flash Photography
• Canonical Surface Mapping via Geometric Cycle Consistency
• GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
• Learning Inverse Rendering of Faces from Real-world Videos
• Deep 3D Capture: Geometry and Reflectance from Sparse Multi-View Images
• X-Fields: Implicit Neural View-, Light- and Time-Image Interpolation
• UnrealText: Synthesizing Realistic Scene Text Images from the UnrealWorld
• Novel View Synthesis of Dynamic Scenes with Globally Coherent Depths from a Monocular Camera
• Learning elementary structures for 3D shape generation and matching
• Neural Re-rendering for Full-frame Video Stabilization
• Novel View Synthesis via Depth-guided Skip Connections
• Let There Be Color! Large-Scale Texturing of 3D Reconstructions
• Continuous Object Representation Networks: Novel View Synthesis without Target View Supervision
• Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination
• GAC-GAN: A General Method for Appearance-Controllable Human Video Motion Transfer
• Action2Motion: Conditioned Generation of 3D Human Motions
• Fast Spatially-Varying Indoor Lighting Estimation
• Everybody's Talkin': Let Me Talk as You Want
• Textured Neural Avatars
• AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
• FLNet: Landmark Driven Fetching and Learning Network for Faithful Talking Facial Animation Synthesis
• Cross-Camera Convolutional Color Constancy
• Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer
• High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
• StyleRig: Rigging StyleGAN for 3D Control over Portrait Images
• Invertible Neural BRDF for Object Inverse Rendering
• Transformable Bottleneck Networks
• Learning Implicit Fields for Generative Shape Modeling
• Volumetric Correspondence Networks for Optical Flow
• Large-scale multilingual audio visual dubbing
• HoloGAN: Unsupervised Learning of 3D Representations From Natural Images
• Occlusion-aware 3D Morphable Models and an Illumination Prior for Face Image Analysis
• BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images
• Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes
• AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis
• Volumetric Capture of Humans with a Single RGBD Camera via Semi-Parametric Learning
• ID-Unet: Iterative Soft and Hard Deformation for View Synthesis
• Semantic Bottleneck Scene Generation
• Non-line-of-Sight Imaging via Neural Transient Fields
• View Independent Generative Adversarial Network for Novel View Synthesis
• Neural Human Video Rendering by Learning Dynamic Textures and Rendering-to-Video Translation
• State of the Art on Neural Rendering
• FaR-GAN for One-Shot Face Reenactment
• Monocular Neural Image Based Rendering with Continuous View Control
• GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields
• NuI-Go: Recursive Non-Local Encoder-Decoder Network for Retinal Image Non-Uniform Illumination Removal
• Single-View View Synthesis with Multiplane Images
• Novel View Synthesis on Unpaired Data by Conditional Deformable Variational Auto-Encoder
• CoReNet: Coherent 3D scene reconstruction from a single RGB image
• Rotationally-Temporally Consistent Novel View Synthesis of Human Performance Video
• Unsupervised Novel View Synthesis from a Single Image
• A Recurrent Transformer Network for Novel View Action Synthesis
• Occupancy Networks: Learning 3D Reconstruction in Function Space
• Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction
• InverseRenderNet: Learning single image inverse rendering
• AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation
• Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video
• Texture Mapping for 3D Reconstruction with RGB-D Sensor
• DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
• Generative Adversarial Networks in Human Emotion Synthesis: A Review
• Learning to Factorize and Relight a City
• Texture Mapping for 3D Reconstruction with RGB-D Sensor
• Better Patch Stitching for Parametric Surface Reconstruction
• Vid2Actor: Free-viewpoint Animatable Person Synthesis from Video in the Wild
• Object-Centric Neural Scene Rendering
• Towards Automatic Face-to-Face Translation
• Neural Light Transport for Relighting and View Synthesis
• Learning to Predict Indoor Illumination from a Single Image
• DSRN: an Efficient Deep Network for Image Relighting
• FastNeRF: High-Fidelity Neural Rendering at 200FPS
• Neural Radiance Flow for 4D View Synthesis and Video Processing
• Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild
• Relightable 3D Head Portraits from a Smartphone Video
• Curriculum DeepSDF
• Single Image Portrait Relighting
• Free View Synthesis
• Space-time Neural Irradiance Fields for Free-Viewpoint Video
• Light Stage Super-Resolution: Continuous High-Frequency Relighting
• NiLBS: Neural Inverse Linear Blend Skinning
• Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF from a Single Image
• Deep Single-Image Portrait Relighting
• High-Fidelity Neural Human Motion Transfer from Monocular Video
• Learning Compositional Radiance Fields of Dynamic Human Heads
• Neural Volume Rendering: NeRF And Beyond
• ReenactNet: Real-time Full Head Reenactment
• Neural State Machine for Character-Scene Interactions