2 citations · 3 across the 8 of their papers we have counts for
8 papers
Light4D: Training-Free Extreme Viewpoint 4D Video Relighting
Zhenghuang Wu, Kang Chen, Zeyu Zhang +1
Recent advances in diffusion-based generative models have established a new paradigm for image and video relighting. However, extending these capabilities to 4D relighting remains…
Beyond Imitation: Reinforcement Learning-Based Sim-Real Co-Training for VLA Models
Liangzhi Shi, Shuaihang Chen, Feng Gao +8
Simulation offers a scalable and low-cost way to enrich vision-language-action (VLA) training, reducing reliance on expensive real-robot demonstrations. However, most sim-real co-t…
LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation
Yinglin Duan, Zhengxia Zou, Tongwei Gu +8
Recent research has been increasingly focusing on developing 3D world models that simulate complex real-world scenarios. World models have found broad applications across various d…
Astra: Toward General-Purpose Mobile Robots via Hierarchical Multimodal Learning
Sheng Chen, Peiyu He, Jiaxin Hu +67
Modern robot navigation systems encounter difficulties in diverse and complex indoor environments. Traditional approaches rely on multiple modules with small models or rule-based s…
LAGA: Layered 3D Avatar Generation and Customization via Gaussian Splatting
Jia Gong, Shenyu Ji, Lin Geng Foo +3
Creating and customizing a 3D clothed avatar from textual descriptions is a critical and challenging task. Traditional methods often treat the human body and clothing as inseparabl…
MoST: Multi-modality Scene Tokenization for Motion Prediction
Norman Mu, Jingwei Ji, Zhenpei Yang +11
Many existing motion prediction approaches rely on symbolic perception outputs to generate agent trajectories, such as bounding boxes, road graph information and traffic lights. Th…
CLIPVG: Text-Guided Image Manipulation Using Differentiable Vector Graphics
Yiren Song, Xuning Shao, Kang Chen +3
Considerable progress has recently been made in leveraging CLIP (Contrastive Language-Image Pre-Training) models for text-guided image manipulation. However, all existing works rel…
LookinGood^π: Real-time Person-independent Neural Re-rendering for High-quality Human Performance Capture
Xiqi Yang, Kewei Yang, Kang Chen +2
We propose LookinGood^π, a novel neural re-rendering approach that is aimed to (1) improve the rendering quality of the low-quality reconstructed results from human performance cap…