All NeRF&3DGS-related papers at CVPR

Code for "Automated design of compound lenses with discrete-continuous optimization"

Thera: Aliasing-Free Arbitrary-Scale Super-Resolution with Neural Heat Fields

🥢像老乡鸡🐔那样做饭。主要部分于2024年完工，非老乡鸡官方仓库。文字来自《老乡鸡菜品溯源报告》，并做归纳、编辑与整理。CookLikeHOC.

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

InfNeRF: Towards Infinite Scale NeRF Rendering with O(log n) Space Complexity

Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

Muon is an optimizer for hidden layers in neural networks

A curated list of awesome neural radiance fields papers

Second Order Optimizers for Machine Learning

[ECCV 2022] Official code release of Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification

PyTorch implementation of the fractional Fourier transform with trainable transform order.

[CVPR 2024] DART: Implicit Doppler Tomography for Radar Novel View Synthesis

Source code for our paper "Inverse Rendering of Near-Field mmWave MIMO Radar for Material Reconstruction"

A toolbox for near-field THz imaging simulation and image reconstruction.

DL4TO is a Python library for 3D topology optimization that is based on PyTorch and allows easy integration with neural networks.

Fourier Modal Method for multilayer metamaterials. Mirror of https://gitlab.com/nannos/nannos

Dataset of solutions to inverse design challenges

A multi-scale differential optimization framework for diffractive optical systems.

Lightning fast differentiable SSIM.

A curated list of awesome neural radiance fields for dynamic scenes

Comprehensive optical design, optimization, and analysis in Python, including GPU-accelerated and differentiable ray tracing via PyTorch.

Code for the paper: Image-guided computational holographic wavefront shaping. https://doi.org/10.1038/s41566-024-01544-6.

[Nature Communications, 2025] In situ characterization of tightly focused fields

Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, NeurIPS 2021

Pado: Pytorch Automatic Differentiable Optics

Pure PyTorch implementation of Nvidia's hash grid encoding: https://nvlabs.github.io/instant-ngp/

Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/

"Structure-Aware Sparse-View X-ray 3D Reconstruction" (CVPR 2024) - A Toolbox for CT reconstruction and X-ray Novel View Synthesis