[NeurIPS 2024] A Unified Framework for 3D Scene Understanding

[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation

Code&Data for Grounded 3D-LLM with Referent Tokens

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Build you own translator from chinese to english with seq2seq model in pytorch😄

A Gradio web UI for Large Language Models with support for multiple inference backends.

现代化的基于 NTQQ 的 Bot 协议端实现

Official implementation of the paper "Unifying 3D Vision-Language Understanding via Promptable Queries"

Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

卷积神经网络ResNet进行动物10分类

MikuDance: Animating Character Art with Mixed Motion Dynamics

Autoregressive Policy for Robot Learning

Improving 3D Large Language Model via Robust Instruction Tuning

A Simple yet Effective Pathway to Empowering LLaVA to Understand and Interact with 3D World

Official implementation of ECCV24 paper "SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding"

[ICML 2024] Official code repository for 3D embodied generalist agent LEO

[NIPS'24] Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

[CVPR2023] Official Implementation of "DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets"

VMamba: Visual State Space Models，code is based on mamba

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

MambaOut: Do We Really Need Mamba for Vision?

OpenMMLab's next-generation platform for general 3D object detection.

Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).

Code for the paper "Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds"

[NeurIPS 2024] PointMamba: A Simple State Space Model for Point Cloud Analysis

This is an unofficial implementation of the Point Transformer paper.