82magnolia

82magnolia's Stars

• hpcaitech/Open-Sora

  Open-Sora: Democratizing Efficient Video Production for All

  Language:Python20.3k1763531.9k

• openai/triton

  Development repository for the Triton language and compiler

  Language:C++11.2k1791.2k1.3k

• google-research/arxiv-latex-cleaner

  arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

  Language:Python5k3150317

• naver/dust3r

  DUSt3R: Geometric 3D Vision Made Easy

  Language:Python4.7k54113517

• JonathonLuiten/Dynamic3DGaussians

  Language:Python1.8k9336108

• NUAAXQ/awesome-point-cloud-analysis-2023

  A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!

  1.5k680192

• rogersce/cnpy

  library to read/write .npy and .npz files in C/C++

  Language:C++1.3k2964297

• loicland/superpoint_graph

  Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

  Language:Python74528275214

• guochengqian/PointNeXt

  [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

  Language:Shell72614150103

• facebookresearch/PoseDiffusion

  [ICCV 2023] PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment

  Language:Python663243239

• neverhood311/Stop-motion-OBJ

  A Blender add-on for importing a sequence of OBJ meshes as frames

  Language:Python657248152

• baegwangbin/DSINE

  [CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation

  Language:Jupyter Notebook6249725

• tom-james-watson/Emote

  Emoji Picker for Linux written in GTK3

  Language:Python614711236

• leomariga/pyRANSAC-3D

  A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm

  Language:Python53582869

• drprojects/superpoint_transformer

  Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"

  Language:Python4951011465

• facebookresearch/neuralvolumes

  Training and Evaluation Code for Neural Volumes

  Language:Python420181052

• francisengelmann/PyViz3D

  PyViz3D is a web-based visualizer for 3D objects and point clouds.

  Language:Python3239722

• jasonkyuyim/se3_diffusion

  Implementation for SE(3) diffusion model with application to protein backbone generation

  Language:Python282103449

• bellockk/alphashape

  Toolbox for constructing alpha shapes.

  Language:Python24283928

• NVIDIA/earth2mip

  Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to inter-compare AI models for weather and climate.

  Language:Python170610139

• sherwinbahmani/tc4d

  TC4D: Trajectory-Conditioned Text-to-4D Generation

  Language:Python148563

• cvlab-columbia/pix2gestalt

  Code for the paper "pix2gestalt: Amodal Segmentation by Synthesizing Wholes" (CVPR 2024)

  Language:Python1199168

• 3D-FRONT-FUTURE/3D-FRONT-ToolBox

  Language:Python9082919

• brownvc/planit

  Public code release for our SIGGRAPH 2019 paper "PlanIT: Planning and Instantiating Indoor Scenes with Relation Graph and Spatial Prior Networks"

  Language:Python8712913

• IIT-PAVIS/SC3K

  Repository of the ICCV23 paper "SC3K: Self-supervised and Coherent 3D Keypoints Estimation from Rotated, Noisy, and Decimated Point Cloud Data"

  Language:Python39524

• UCR-Robotics/CED_Detector

  WACV 2023: Centroid Distance Keypoint Detector for Colored Point Clouds

  Language:C++31342

• qym7/SparseDiff

  Official implementation for 'Sparse denoising diffusion for large graph generation'

  Language:Python28333

• shnnam/nir

  A PyTorch implementation of the ECCV 2022 paper "Neural Image Representations for Multi-Image Fusion and Layer Separation"

  Language:Jupyter Notebook1910

• tristan-deep/joint-diffusion

  Official code repository for the paper: Removing Structured Noise using Diffusion Models

  Language:Python12202

• twjhlee/Normal-Field-Learning

  Official implementation for Normal Field Learning(RA-L)

  Language:Python610