Shunlin Lu

@ShunlinL

First-year PhD student at CUHK(SZ), intern at IDEA now

Joined November 2021

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Shunlin Lu
@ShunlinL
Sep 18, 2025
A unified learning paradigm is crucial for robotis. Check out our recent understanding of WBC.
Weishuai Zeng
@weishuaizeng
Sep 18, 2025
We are excited to re-introduce our Behavior Foundation Model for Humanoid Robots, built upon a unified perspective of diverse WBC tasks, as a promising step toward a foundation model for general humanoid control. 🔗Website: bfm4humanoid.github.io 📜Paper: arxiv.org/abs/2509.13780
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Shunlin Lu
@ShunlinL
Mar 24, 2025
MotionStreamer offers multi-round generation, long-term generation, and dynamic motion composition, which delivers a brand-new experience for animation users. Explore more at: arxiv.org/abs/2503.15451 and zju3dv.github.io/MotionStreamer/
AK
@_akhaliq
Mar 23, 2025
MotionStreamer announced on Hugging Face Streaming Motion Generation via Diffusion-based Autoregressive Model in Causal Latent Space
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Shunlin Lu
@ShunlinL
Oct 25, 2024
A simple but effective motion editing way through attention mechanisms.
Ling-Hao CHEN (on job market)
@Evan_THU
Oct 25, 2024
💃 Introducing #MotionCLR: MotionCLR is a motion generation model, supporting versatile interactive training-free motion editing methods. 📖Paper: arxiv.org/pdf/2410.18977 🏠Page: lhchen.top/MotionCLR 🖊️Blogpost: huggingface.co/blog/EvanTHU/m… 💻Code: github.com/IDEA-Research/…
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Shunlin Lu
@ShunlinL
May 31, 2024
The initial attempt of human behavior in VLM, hope to expand it into an all-knowing and all-powerful VLA model in the future. Perception module provides spatial information, the understanding module is for reasoning and planning, and the action model is for guiding the controls.
Ling-Hao CHEN (on job market)
@Evan_THU
May 31, 2024
🔥Today, we announce the #MotionLLM💃, an LLM-based motion/video model for human behavior understanding! 📖Paper: arxiv.org/pdf/2405.20340 🏠Project page: lhchen.top/MotionLLM 🤗Demo: demo.humotionx.com ✍️Blogpost: research.lhchen.top/blogpost/motio… 💻Code: github.com/IDEA-Research/…
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Shunlin Lu
@ShunlinL
May 17, 2024
Amazing work. Proud of the whole team of IDEA CVR.
AK
@_akhaliq
May 17, 2024
Grounding DINO 1.5 Advance the "Edge" of Open-Set Object Detection This paper introduces Grounding DINO 1.5, a suite of advanced open-set object detection models developed by IDEA Research, which aims to advance the "Edge" of open-set object detection. The suite encompasses