A Survey on Reinforcement Learning of Vision-Language-Action Models for Robotic Manipulation

[IROS 2025] ManiGaussian++: General Robotic Bimanual Manipulation with Hierarchical Gaussian World Model

[ICCV2025] AnyBimanual: Transfering Unimanual Policy for General Bimanual Manipulation

[NeurIPS'24]Efficient and accurate memory saving method towards W4A4 large multi-modal models.

[NeurIPS 2024] SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation

[ICLR 2025, Oral] EmbodiedSAM: Online Segment Any 3D Thing in Real Time

ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation

Hash3D: Training-free Acceleration for 3D Generation

[ECCV 2024] ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation

[arXiv 2023] Embodied Task Planning with Large Language Models

[ECCV 2024] 3D Small Object Detection with Dynamic Spatial Pruning

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

Code and documentation to train Stanford's Alpaca models, and generate the data.

Inference code for Llama models

Code for "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019), "SCOP: Scientific Control for Reliable Neural Network Pruning" (NeurIPS 2020) and “Manifold Regularized Dynamic Ne…

[ICCV 2021] Group-aware Contrastive Regression for Action Quality Assessment

[ICCV 2021] Towards Interpretable Deep Metric Learning with Structural Matching

GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning

This is the pytorch implementation for the paper: *Learning Accurate Performance Predictors for Ultrafast Automated Model Compression*, which is in submission to IJCV

This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is accepted to ICCV2021.

This is the official pytorch implementation for the paper: Instance Similarity Learning for Unsupervised Feature Representation.

[CVPR 2021] PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds

[CVPR 2020] Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds

This is the official pytorch implementation for paper: BiDet: An Efficient Binarized Object Detector, which is accepted by CVPR2020.