touchthefish233

touchthefish233's Stars

• HTDerekLiu/BlenderToolbox

  Some simple Blender scripts for rendering paper figures

  Language:Python55557

• 3b1b/manim

  Animation engine for explanatory math videos

  Language:Python60.3k5.7k

• salesforce/LAVIS

  LAVIS - A One-stop Library for Language-Vision Intelligence

  Language:Jupyter Notebook9.2k909

• jonbarron/website

  Language:HTML2.3k1.9k

• ActiveVisionLab/Awesome-LLM-3D

  Awesome-LLM-3D: a curated list of Multi-modal Large Language Model in 3D world Resources

  83957

• sindresorhus/awesome

  😎 Awesome lists about all kinds of interesting topics

  310k27k

• IDEA-Research/Grounded-Segment-Anything

  Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

  Language:Jupyter Notebook14.1k1.3k

• mmspg/mesh-sampling

  Language:Python274

• timzhang642/3D-Machine-Learning

  A resource repository for 3D machine learning

  9.5k1.8k

• aaronWool/keygnet

  source code for paper "Learning Better Keypoints for Multi-Object 6DoF Pose Estimation".

  Language:Python6

• miracleyoo/pytorch-lightning-template

  An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well. No need to rewrite your config in hydra.

  Language:Jupyter Notebook1.3k185

• otaheri/chamfer_distance

  Implementation of the Chamfer Distance as a module for PyTorch

  Language:Python15220

• lucidrains/perceiver-pytorch

  Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

  Language:Python1.1k133

• QwenLM/Qwen-VL

  The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.

  Language:Python4.3k329

• weitong8591/differentiable_ransac

  PyTorch Implementation of the ICCV 2023 paper: Generalized Differentiable RANSAC ($\nabla$-RANSAC).

  Language:Python1559

• nv-nguyen/cnos

  [ICCV 2023 R6D] PyTorch implementation of CNOS: A Strong Baseline for CAD-based Novel Object Segmentation based on Segmenting Anything and DINOv2

  Language:Python17717

• taesiri/ArXivQA

  WIP - Automated Question Answering for ArXiv Papers with Large Language Models (https://arxiv.taesiri.xyz/)

  Language:Python26311

• OpenMask3D/openmask3d

  Language:Python15910

• acheong08/Bard

  Python SDK/API for reverse engineered Google Bard

  Language:Python1.4k181

• baaivision/Uni3D

  [ICLR'24 Spotlight] Uni3D: 3D Visual Representation from BAAI

  Language:Python42725

• auniquesun/CrossPoint-DDP

  PyTorch DistriubtedDataParallel (DDP) implementation of the CVPR 2022 Paper CrossPoint.

  Language:Jupyter Notebook151

• MohamedAfham/CrossPoint

  Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)

  Language:Python22829

• ChirikjianLab/Marching-Primitives

  [CVPR2023 Highlight] Marching-Primitives: Shape Abstraction from Signed Distance Function

  Language:MATLAB1176

• bmlklwx/EMS-superquadric_fitting

  [CVPR 2022 Oral] Robust and Accurate Superquadric Recovery: a Probabilistic Approach

  Language:MATLAB5210

• SarahWeiii/CoACD

  [SIGGRAPH2022] Approximate Convex Decomposition for 3D Meshes with Collision-Aware Concavity and Tree Search

  Language:C++40652

• kmammou/v-hacd

  Automatically exported from code.google.com/p/v-hacd

  Language:C++1.4k252

• LiangliangNan/Easy3D

  A lightweight, easy-to-use, and efficient C++ library for processing and rendering 3D data

  Language:C++1.3k238

• brown-ivl/Cafi-Net

  [CVPR 2023] Official code release of Cafi-Net: Self-Supervised Learning of Pose-Canonicalized Neural Fields

  Language:Python151

• cvlab-columbia/zero123

  Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023)

  Language:Python2.6k188

• monniert/differentiable-blocksworld

  [NeurIPS 2023] Code for "Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives"

  Language:Python19110