Novel View Synthesis Papers

• Novel-View Human Action Synthesis
• Geometry-Free View Synthesis: Transformers and no 3D Priors
• MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis
• Self-Supervised Visibility Learning for Novel View Synthesis
• Deep Spatial Transformation for Pose-Guided Person Image Generation and Animation
• Novel View Synthesis from Single Images via Point Cloud Transformation
• NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
• Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence
• Editing Conditional Radiance Fields
• Free View Synthesis
• Deferred Neural Rendering: Image Synthesis using Neural Textures
• Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
• SynSin: End-to-end View Synthesis from a Single Image
• Stereo Magnification: Learning view synthesis using multiplane images
• LiquidWarping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis
• Novel View Synthesis for Large-scale Scene using Adversarial Loss
• A Neural Rendering Framework for Free-Viewpoint Relighting
• Transformation-Grounded Image Generation Network for Novel 3D View Synthesis
• Transformable Bottleneck Networks
• NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
• 3D Photography using Context-aware Layered Depth Inpainting
• Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines
• Novel View Synthesis on Unpaired Data by Conditional Deformable Variational Auto-Encoder
• PixelSynth: Generating a 3D-Consistent Experience from a Single Image
• Pairwise-GAN: Pose-based View Synthesis through Pair-Wise Training
• DeepVoxels: Learning Persistent 3D Feature Embeddings
• Cross-Domain 3D Equivariant Image Embeddings
• pixelNeRF: Neural Radiance Fields from One or Few Images
• View Synthesis by Appearance Flow
• Layout-Guided Novel View Synthesis from a Single Indoor Panorama
• GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
• Future Urban Scenes Generation Through Vehicles Synthesis
• Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans
• Novel View Synthesis via Depth-guided Skip Connections
• Continuous Object Representation Networks: Novel View Synthesis without Target View Supervision
• HoloGAN: Unsupervised Learning of 3D Representations From Natural Images
• Deep Novel View Synthesis from Colored 3D Point Clouds
• Monocular Neural Image Based Rendering with Continuous View Control
• GNeRF: GAN-based Neural Radiance Field without Posed Camera
• Shadow Neural Radiance Fields for Multi-view Satellite Photogrammetry
• Rotationally-Temporally Consistent Novel View Synthesis of Human Performance Video
• Unsupervised Discovery of Object Radiance Fields
• NeRF−−: Neural Radiance Fields Without Known Camera Parameters
• NeX: Real-time View Synthesis with Neural Basis Expansion
• PlenOctrees for Real-time Rendering of Neural Radiance Fields
• Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis
• Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis
• Moving in a 360World: Synthesizing Panoramic Parallaxes from a Single Panorama
• Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis
• Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video
• Deep Blending for Free-Viewpoint Image-Based Rendering