mdyao

mdyao's Stars

• Vision-CAIR/MiniGPT-4

  Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

  Language:Python25.5k2184692.9k

• danielgatis/rembg

  Rembg is a tool to remove images background

  Language:Python17.5k1505151.9k

• graphdeco-inria/gaussian-splatting

  Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

  Language:Python15.3k1201.1k2k

• MrNeRF/awesome-3D-gaussian-splatting

  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.

  Language:HTML6.5k26759393

• BlueMatthew/WechatExporter

  Wechat Chat History Exporter 微信聊天记录导出备份程序

  Language:C++6.4k44178568

• xxlong0/Wonder3D

  Single Image to 3D using Cross-Domain Diffusion for 3D Generation

  Language:Python4.9k48184395

• kf-liu/The-Art-of-Linear-Algebra-zh-CN

  Graphic notes on Gilbert Strang's "Linear Algebra for Everyone", 线性代数的艺术中文版, 欢迎PR.

  Language:PostScript4.6k430456

• NVlabs/neuralangelo

  Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)

  Language:Python4.4k62207391

• dreamgaussian/dreamgaussian

  [ICLR 2024 Oral] Generative Gaussian Splatting for Efficient 3D Content Creation

  Language:Python4k44157359

• NVlabs/eg3d

  Language:Python3.3k157113361

• mmp/pbrt-v4

  Source code to pbrt, the ray tracer described in the forthcoming 4th edition of the "Physically Based Rendering: From Theory to Implementation" book.

  Language:C++2.9k73344471

• spla-tam/SplaTAM

  SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM (CVPR 2024)

  Language:Python1.6k38131178

• JunweiLiang/awesome_lists

  Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)

  Language:Python1.5k33186

• buaacyw/GaussianEditor

  [CVPR 2024] GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting

  Language:C++1.2k267859

• kanition/pbrtbook

  pbrt 中文整合翻译 基于物理的渲染：从理论到实现 Physically Based Rendering: From Theory To Implementation

  Language:TeX1.1k234575

• UMass-Foundation-Model/3D-LLM

  Code for 3D-LLM: Injecting the 3D World into Large Language Models

  Language:Python989166559

• greenbellpepper/GreenPepper

  877251119

• hitachinsk/SAMed

  The implementation of the technical report: "Customized Segment Anything Model for Medical Image Segmentation"

  Language:Python50345847

• TonyLianLong/LLM-groundedDiffusion

  LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models (LLM-grounded Diffusion: LMD, TMLR 2024)

  Language:Python444131929

• hitachinsk/FGT

  [ECCV 2022] Flow-Guided Transformer for Video Inpainting

  Language:Jupyter Notebook317133832

• mli0603/BlenderNeuralangelo

  Blender addon to inspect and preprocess COLMAP data for Neuralangelo (CVPR 2023)

  Language:Python31591322

• mdyao/Awesome-3D-AIGC

  A curated list of papers and open-source resources focused on 3D AIGC.

  3118216

• ZhexinLiang/CLIP-LIT

  [ICCV 2023, Oral] Iterative Prompt Learning for Unsupervised Backlit Image Enhancement

  Language:Python29652426

• jc211/NeRFCapture

  An iOS app that collects/streams posed images for NeRFs using ARKit

  Language:Swift255101729

• JonaNorman/HDRSample

  Example of converting HDR video to SDR in Android.在Android如何实现HDR视频转SDR的实践

  22411442

• szymanowiczs/viewset-diffusion

  Implementation of `Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data' (ICCV 2023)

  Language:Python1001177

• onpix/LLNeRF

  [ICCV2023] Lighting up NeRF via Unsupervised Decomposition and Enhancement

  Language:Python863208

• mdyao/CSNorm

  [ICCV 2023] Official Implementation of "Generalized Lightness Adaptation with Channel Selective Normalization"

  Language:Python722116

• Guanys-dar/MGDN

  Mutual-Guided Dynamic Network for Image Fusion (ACM-MM 2023)

  Language:Python18140

• XrKang/ZeDuSR

  Zero-Shot Dual-Lens Super-Resolution, CVPR2023

  Language:Python18100