🐫 CAMEL: Finding the Scaling Law of Agents. The first and the best multi-agent framework. https://www.camel-ai.org

Superpixel-guided Sampling for Compact 3d Gaussian Splatting

code for "Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion"

Inference script for Oasis 500M

Official Implementation of paper "MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion"

Official Implementation of "PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting"

A robotics hardware platform for the integration sensors and end effectors into a common platform.

Sparsh Self-supervised touch representations for vision-based tactile sensing

No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images

File format for 3D Gaussian splats. About 10x smaller than the PLY equivalent with virtually no perceptible loss in visual quality. Offered as open source by Niantic Labs. More details at https://s…

[CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling

This is a public repository to go over all the LLM-driven data engineering concepts.

PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.

IEEE CoG & NeurIPS workshop paper 'Counter-Strike Deathmatch with Large-Scale Behavioural Cloning'

A framework to study AI models in Reasoning, Alignment, and use of Memory (RAM).

Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024

Inference code for the paper "Spirit-LM Interleaved Spoken and Written Language Model".

An Open Source Python alternative to NotebookLM's podcast feature: Transforming Multimodal Content into Captivating Multilingual Audio Conversations with GenAI

[ACM MM 2024] Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model

Mamba in Vision: A Comprehensive Survey of Techniques and Applications

[Official Repo] Visual Mamba: A Survey and New Outlooks

Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning

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

Point Cloud Mamba: Point Cloud Learning via State Space Model

Mamba SSM architecture

Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scal…

Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)

Papers and Datasets about Point Cloud.