A curated list of neural rendering resources.

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Deep LearningAwesome-of-Neural-Rendering
Overview

Awesome-of-Neural-Rendering Awesome

A curated list of neural rendering and related resources.

Please feel free to pull requests or open an issue to add papers.

🔆 Updated 2021-09-08

Table of Contents

Type of Neural-Rendering

Type View `` `` `` `` `` Other
Explanation View Synthesis other types

GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering

2021

Title Venue Type Code Star
ICCV Other PyTorch(Author) ``
Self-Calibrating Neural Radiance Fields ICCV Other PyTorch(Author) 72
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering ICLR-Oral Other PyTorch(Author) ``
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields ICCV-Oral Other PyTorch(Author) ``
GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering ICCV Other PyTorch(Author) 128
PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting CVPR Other PyTorch(Author) 33
IBRNet: Learning Multi-View Image-Based Rendering CVPR View PyTorch(Author) 126
NeX: Real-time View Synthesis with Neural Basis Expansion CVPR-Oral View PyTorch(Author) 320
Neural Lumigraph Rendering CVPR Other PyTorch(Author) ``
AutoInt: Automatic Integration for Fast Neural Volume Rendering CVPR Other PyTorch(Author) 80
pixelNeRF: Neural Radiance Fields from One or Few Images CVPR View PyTorch(Author) 456
StereoRadiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes CVPR View PyTorch(Author) 32
D-NeRF: Neural Radiance Fields for Dynamic Scenes CVPR Other PyTorch(Author) 61
NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis CVPR Other PyTorch(Author) ``
AutoInt: Automatic Integration for Fast Neural Volume Rendering CVPR Other PyTorch(Author) ``
GIRAFFE: Representing Scenes asCompositional Generative Neural Feature Fields CVPR-BestPaper Other PyTorch(Author) 609
NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination SIGGRAPH Asia Other PyTorch(Author) 104

2020

Title Venue Type Code Star
Multiview Neural Surface Reconstruction with Implicit Lighting and Material NeurIPS Other PyTorch(Author) 223
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis NeurIPS Other PyTorch(Author) 183
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision CVPR Other PyTorch(Author) 471
CVPR `` PyTorch(Author) ``
CVPR `` PyTorch(Author) ``
CVPR `` PyTorch(Author) ``
CVPR `` PyTorch(Author) ``
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis ECCV-Oral View TensorFlow(Author) PyTorch(3rd) PyTorch(3rd) Jax(3rd) 3.6k/1.1k/429/19.2k

2019

Title Venue Type Code Star
Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines SIGGRAPH View PyTorch(Author) 691
Deferred Neural Rendering: Image Synthesis using Neural Textures SIGGRAPH Other PyTorch(Author) 123
Geometry-Aware Neural Rendering NeurIPS Other PyTorch(Author) ``
Scene Representation Networks: Continuous3D-Structure-Aware Neural Scene Representations NeurIPS-Oral Other PyTorch(Author) 287
Monocular Neural Image Based Rendering with Continuous View Control ICCV Other PyTorch(Author) 43
CVPR Other PyTorch(Author) ``

2018

Title Venue Type Code Star
CVPR Other PyTorch(Author) ``

2017

Title Venue Type Code Star
CVPR Other PyTorch(Author) ``

2016

Title Venue Type Code Star
CVPR Other PyTorch(Author) ``

Previous Venues

Title Venue Type Code Star
Ray-casting Point-in-polyhedron Test 2012-CESCG Other -

Arxiv

Title Date Type Code Star
NeuLF: Efficient Novel View Synthesis with Neural 4D Light Field 2021.08.04 View -
KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs 2021.08.02 Other PyTorch(Author) 169
Neural Rays for Occlusion-aware Image-based Rendering 2021.07.28 Other PyTorch(Author) 13
Fast and Explicit Neural View Synthesis 2021.07.12 View -
HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields 2021.06.24 Other PyTorch(Author) ``
Volume Rendering of Neural Implicit Surfaces 2021.06.22 Other -
Learning to Stylize Novel Views 2021.05.27 `` -
Neural Ray-Tracing: Learning Surfaces and Reflectance for Relighting and View Synthesis 2021.04.28 Other PyTorch(Author) 7
FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object CategoryModelling 2021.04.17 `` PyTorch(Author) ``
Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation 2021.04.02 Other PyTorch(Author) ``
Inverting Neural Radiance Fields for Pose Estimation 2021.04.01 Other -
NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination 2021.01.04 Other PyTorch(Author) 115
2021.08.10 `` PyTorch(Author) ``
2021.08.10 `` PyTorch(Author) ``

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Zhiwei ZHANG
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GitHub Repository
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Install alphafold on the local machine, get out of docker.

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Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

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Official Pytorch implementation of 'GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network' (NeurIPS 2020)

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This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

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Code release for SLIP Self-supervision meets Language-Image Pre-training

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Weakly Supervised Text-to-SQL Parsing through Question Decomposition

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Code for paper Novel View Synthesis via Depth-guided Skip Connections

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MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data

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Bayesian Inference Tools in Python

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Python library for science observations from the James Webb Space Telescope

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Unofficial PyTorch Implementation of "DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features"

Pytorch Implementation of Deep Orthogonal Fusion of Local and Global Features (DOLG) This is the unofficial PyTorch Implementation of "DOLG: Single-St

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Deep Multimodal Neural Architecture Search

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Unofficial implementation of One-Shot Free-View Neural Talking Head Synthesis

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Learning Open-World Object Proposals without Learning to Classify

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A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.

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