neural_rendering

Neural Rendering

Survey papers

• EG-STAR2020 State of the Art on Neural Rendering [link][video tutorial]
• arxiv2020 Differentiable Rendering: A Survey [link])
• arxiv2020 Accelerating 3D Deep Learning with PyTorch3D [link]
• arxiv2020 Neural Sparse Voxel Fields [link]

Neural Rendering papers

• arxiv2020 Multiview Neural Surface Reconstruction with Implicit Lighting and Material [link]
• arxiv2020 BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images [link]
• MIT6.S191 Lecture 9: Neural Rendering [video] [note]
• ECCV2020 Neural Point-Based Graphics [code]
• ECCV2020 NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis [code]
• ICML2020 DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images [link]
• ICML2020 Equivariant Neural Rendering [link]
• ICML2020 Implicit Geometric Regularization for Learning Shapes [[link]]
• arxiv2020 Unsupervised object-centric video generation and decomposition in 3D [link]
• arxiv2020 Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition [link]
• arxiv2020 BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images [link]
• arxiv2020 Neural Human Video Rendering:Joint Learning of Dynamic Textures and Rendering-to-Video Translation [link]
• CVPR2020 SynSin: End-to-end View Synthesis from a Single Image [link]
• arxiv2019 Neural Voxel Renderer [code]
• arxiv2019 Neural Point-Based Graphics [link]
• arxiv2019 A Neural Rendering Framework for Free-Viewpoint Relighting [link]
• NeurIPS2019 Geometry-Aware Neural Rendering [link]
• NeurIPS2019 Scene Representation Networks [code]
• ICCV2019 HoloGAN: Unsupervised learning of 3D representations from natural images [link][code]
• ICCV2019 Monocular Neural Image Based Rendering with Continuous View Control [link]
• SIGASIA2019 3D Ken Burns Effect from a Single Image [link]
• SIGGRAPH2019 Deferred Neural Rendering: Image Synthesis using Neural Textures[link]
• SIGGRAPH2019 Neural Volumes: Learning Dynamic Renderable Volumes from Images [link]
• SIGGRAPH2019 Neural Rendering and Reenactment of Human Actor Videos [link]
• SIGGRAPH2019 VR Facial Animation via Multiview Image Translation [link]
• SIGGRAPH2019 Text-based Editing of Talking-head Video [link]
• CVPR2019 DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation [code][video]
• CVPR2019 DeepView: View Synthesis with Learned Gradient Descent[link]
• CVPR2019 Neural Rerendering in the Wild [link][code]
• CVPR2019 Pushing the Boundaries of View Extrapolation with Multiplane Images [link][video]
• CVPR2019 DeepVoxels: Learning Persistent 3D Feature Embeddings [link]
• CVPR2018 DeepMVS: Learning Multi-view Stereopsis [link][code]
• CVPR2018 Context-aware Synthesis for Video Frame Interpolation [link]
• ECCV2018 Multi-view to Novel view: Synthesizing Novel Views with Self-Learned Confidence [link][code]
• SIGGRAPHASIA2018 LookinGood: Enhancing performance capture with real-time neural re-rendering [[link]]
• SIGGRAPH2018 Deep Blending for Free-Viewpoint Image-Based Rendering [link]
• SIGGRAPH2018 Deep video portraits [link]
• Arxiv2018 IGNOR: Image-guided neural object rendering [link]
• NeurIPS2018 RenderNet: A deep convolutional network for differentiable rendering from 3D shapes [link]
• CGI2018 Point Based Rendering Enhancement via Deep Learning [link]

Image-Based Rendering papers

• SIGGRAPH2019Course Capture4VR: From VR Photography to VR Video [link]
• VR2019 MegaParallax: Casual 360° Panoramas with Motion Parallax [link]
• SIGGRAPH2018 Instant 3D Photography [link]
• SIGGRAPHASIA2017 Casual 3D Photography [link]
• SIGGRAPHASIA2017 Virtual Rephotography: Novel View Prediction Error for 3D Reconstruction [link]
• SIGGRAPH2016 Scalable Inside-Out Image-Based Rendering [link]
• CVPR2015 3D Time-lapse Reconstruction from Internet Photo [link]
• SIGGRAPH2015 Time-lapse Mining from Internet Photos [link]
• SIGGRAPH2014 First-person Hyper-lapse videos [link]
• SIGGRAPH2012 Image-Based Rendering for Scenes with Reflections [link]
• Real-Time Hyperlapse Creation Via Optimal Frame Selection