awesome-of-neural-rendering
github.com/zzw-zwzhang/awesome-of-neural-rendering ↗A curated list of neural rendering resources.
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21 hours ago
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202120202019Previous VenuesArxivAwesome SurveysAwesome BlogsVideosDatasetsTools
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2021
- AutoInt: Automatic Integration for Fast Neural Volume Rendering
CVPR
- D-NeRF: Neural Radiance Fields for Dynamic Scenes
CVPR
- GIRAFFE: Representing Scenes asCompositional Generative Neural Feature Fields
CVPR-BestPaper
- GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering
ICCV
- IBRNet: Learning Multi-View Image-Based Rendering
CVPR
- Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering
ICLR-Oral
Awesome Surveys
Arxiv
- Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation
2021.04.02
- Fast and Explicit Neural View Synthesis
2021.07.12
- FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object CategoryModelling
2021.04.17
- HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields
2021.06.24
- Inverting Neural Radiance Fields for Pose Estimation
2021.04.01
- KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
2021.08.02
2019
- Deferred Neural Rendering: Image Synthesis using Neural Textures
SIGGRAPH
- Geometry-Aware Neural Rendering
NeurIPS
- Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines
SIGGRAPH
- Monocular Neural Image Based Rendering with Continuous View Control
ICCV
- Scene Representation Networks: Continuous3D-Structure-Aware Neural Scene Representations
NeurIPS-Oral
2020
- Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision
CVPR
- GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
NeurIPS
- Multiview Neural Surface Reconstruction with Implicit Lighting and Material
NeurIPS
- NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
ECCV-Oral
Videos
- Jon Barron - Understanding and Extending Neural Radiance Fields
Understanding and Extending Neural Radiance Fields
- Matthew Tancik: Neural Radiance Fields for View Synthesis
- Matthias Niessner - Why Neural Rendering is Super Cool!
Why Neural Rendering is Super Cool!
- Neural Rendering (CVPR 2020)
- TUM AI Lecture Series - New Methods for Reconstruction and Neural Rendering (Christian Theobalt)
New Methods for Reconstruction and Neural Rendering (Christian Theobalt)
Showing a sample of 64 resources. View the full list on GitHub →