RunpeiDong

DreamLLM

[ICLR 2024 Spotlight] DreamLLM: Synergistic Multimodal Comprehension and Creation

ACT

[ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

PointDistiller

[CVPR 2023] PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection

DGMS

[ICML 2022 Spotlight] Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks

ReCon

Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining

Awesome-LLM-3D

Awesome-LLM-3D: a curated list of Multi-modal Large Language Model in 3D world Resources

awesome-model-quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

Awesome-Open-Vocabulary

orbit

Unified framework for robot learning built on NVIDIA Isaac Sim