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SwissArmyTransformer is a flexible and powerful library to develop your own Transformer variants.
Official code for PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking (ICCV 2023)
Infinite Photorealistic Worlds using Procedural Generation
VGGSfM: Visual Geometry Grounded Deep Structure From Motion
Official implementation of the paper "LangSplat: 3D Language Gaussian Splatting" [CVPR2024 Highlight]
[CVPR 2024 Highlight] Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields
Papers and Datasets about Point Cloud.
We present Object Images (Omages): An homage to the classic Geometry Images.
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
Official code for "Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction" (CVPR 2023)
Official Implementation of Rectified Flow (ICLR2023 Spotlight)
Official inference repo for FLUX.1 models
PyTorch implementation of Pointnet2/Pointnet
Code for "Real3D: Scaling Up Large Reconstruction Models with Real-World Images"
SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement
An extensive node suite that enables ComfyUI to process 3D inputs (Mesh & UV Texture, etc) using cutting edge algorithms (3DGS, NeRF, etc.)
GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation
[ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
official code of “OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding”
[CVPR 2024] The official implementation of paper "Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training"
[ICLR'24 Spotlight] Uni3D: 3D Visual Representation from BAAI
[ECCV 2024] ShapeLLM: Universal 3D Object Understanding for Embodied Interaction
[NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
PointNet : Deep Hierarchical Feature Learning on Point Sets in a Metric Space