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🔎 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including PSNR, SSIM, LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...
COLMAP - Structure-from-Motion and Multi-View Stereo
PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar
[SIGGRAPH ASIA 2024] Official implementation of the paper "AdR-Gaussian: Accelerating Gaussian Splatting with Adaptive Radius"
We propose DarkSLAM, a novel self-supervised SLAM framework capable of learning poses, depths, and loop closures directly from monocular thermal images, that achieves large-scale thermal localizati…
[NeurIPS 2025] Official implementation of the paper "BecomingLit: Relightable Gaussian Avatars with Hybrid Neural Shading"
This is the official implementation of Lumos3D: A Single-Forward Framework for Low-Light 3D Scene Restoration
[Arxiv'25] SaLon3R: Structure-aware Long-term Generalizable 3D Reconstruction from Unposed Images
Code release for "Blurred LiDAR for Sharper 3D: Robust Handheld 3D Scanning with Diffuse LiDAR and RGB" (CVPR 2025 Highlight)
Twilight SLAM is unique framework augmenting the SLAM navigation frameworks with low-light image enhancement modules for navigating in dusky or extremely low-light or any illumination rendered feat…
Official Implement of RetinexRawMamba (TCSVT 2025)
Official Code of Diff-Retinex++: Retinex-Driven Reinforced Diffusion Model for Low-Light Image Enhancement (TPAMI 2025)
Official Code of the Diff-Retinex: Rethinking Low-Light Image Enhancement with A Generative Diffusion Model (ICCV2023)
Noise-Modeled Diffusion Models for Low-Light Spike Image Restoration (ICCV 2025 Highlight)
This is the official implementation of "Colorization-inspired Customized Low-Light Image Enhancement by A Decoupled Network" published in TNNLS"
Official pytorch implementation for "LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models"
[MMM 24] Adversarially Regularized Low-Light Image Enhancement
Code for CIVQLLIE: Causal Intervention with Vector Quantization for Low-Light Image Enhancement