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