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PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
This is a collective repository for all 3DGS related progresses in research and industry world
Official implementation of Aquatic-GS: A Hybrid 3D Representation for Underwater Scenes
This project is about adding fog/Haze effects in the image.
[CVPR 2024] Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis
[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
DN-Splatter + AGS-Mesh: Depth and Normal Priors for Gaussian Splatting
A 3D Gaussian Splatting framework with various derived algorithms and an interactive web viewer
[SIGGRAPH 2023, TPAMI 2024] Code for NeRF-Texture: Texture Synthesis with Neural Radiance Fields
Infinite Photorealistic Worlds using Procedural Generation
Awesome Underwater Image Enhancement (UIE) Methods
Official implementation of the paper "Gaussian in the Wild: 3D Gaussian Splatting for Unconstrained Image Collections" [ECCV 2024]
👁️ 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including PSNR, SSIM, LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
[CVPR 2024 Highlight] Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering
A collection of papers on neural field-based inverse rendering.
Implementation of Sea-thru by Derya Akkaynak and Tali Treibitz
Gaussian Splatting implementation based on gsplat. Easy to install and use.
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch