A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF
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Updated
Dec 8, 2023 - Python
A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF
Implementation of papers in 100 lines of code.
Point-NeRF: Point-based Neural Radiance Fields
Direct voxel grid optimization for fast radiance field reconstruction.
Code release for DS-NeRF (Depth-supervised Neural Radiance Fields)
"Structure-Aware Sparse-View X-ray 3D Reconstruction" (CVPR 2024) - A Toolbox for CT reconstruction and X-ray Novel View Synthesis
(Arxiv 2021) NeRF--: Neural Radiance Fields Without Known Camera Parameters
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
[ICCV 2021 Oral] NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo
(CVPR 2023) NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior
[ICCV 2023] Official implementation of "SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields"
A novel paradigm for collecting and generating stereo training data using neural rendering
[ICLR 2023] "Is Attention All NeRF Needs?" by Mukund Varma T*, Peihao Wang* , Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
[ECCV 2022] "SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image", Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang
[CVPR 2023, Highlight] "NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views", Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Yi Wang, Zhangyang Wang
Blender addon to inspect and preprocess COLMAP data for Neuralangelo (CVPR 2023)
Unofficial & improved implementation of NeRF--: Neural Radiance Fields Without Known Camera Parameters
NeRF for Outdoor Scene Relighting [ECCV 2022]
Pytorch code for ICCV'23 paper. NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
[ICCV 2023] Pytorch implementation of "S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields".
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