Fork of the most popular PyTorch implementation of NeRF (Neural Radiance Fields), extended to support additional datasets such as DTU.
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Updated
Nov 14, 2022 - Jupyter Notebook
Fork of the most popular PyTorch implementation of NeRF (Neural Radiance Fields), extended to support additional datasets such as DTU.
A type of potential-based recurrent neural networks implemented with PyTorch
Official Code for "Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields"
Neural Fields for Sea Surface Height Interpolation.
Official source code for "Latent Field Discovery in Interacting Dynamical Systems with Neural Fields". In NeurIPS 2023.
[CVPR'24] MorpheuS: Neural Dynamic 360° Surface Reconstruction from Monocular RGB-D Video
Rendering code for Megascans from "EpiGRAF: Rethinking training of 3D GANs" [NeurIPS 2022]
Implementation of "Deep Learning in Random Neural Fields: Numerical Experiments via Neural Tangent Kernel"
Code for "Accurate Differential Operators for Hybrid Neural Fields"
ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes (CoRL 2022)
Implementation Tutorial for Neural Radiosity [Hadadan et al. 2021] in Mitsuba 3
Github Page for the 3D Deep Learning Reading Group
Official implementation of the ICASSP 2023 paper "HRTF Field: Unifying Measured HRTF Magnitude Representation with Neural Fields"
[NeurIPS'23] Learning Neural Implicit through Volume Rendering with Attentive Depth Fusion Priors
Polynomial Neural Fields for Subband Decomposition and Manipulation
Unofficial implementation (replicates paper results!) of MINER: Multiscale Implicit Neural Representations in pytorch-lightning
✨ [CVPR 2023] NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation
Neural Graph Mapping for Dense SLAM with Efficient Loop Closure
Experiments of coordinate MLPs
The official implementation for NeurIPS 2022 Spotlight Neural Shape Deformation Priors
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