32 citations · 36 across the 25 of their papers we have counts for
10 papers · 1 filter
UniAct: Unified Motion Generation and Action Streaming for Humanoid Robots
Nan Jiang, Zimo He, Wanhe Yu +8
A long-standing objective in humanoid robotics is the realization of versatile agents capable of following diverse multimodal instructions with human-level flexibility. Despite adv…
GROVE: A Generalized Reward for Learning Open-Vocabulary Physical Skill
Jieming Cui, Tengyu Liu, Ziyu Meng +5
Learning open-vocabulary physical skills for simulated agents presents a significant challenge in artificial intelligence. Current reinforcement learning approaches face critical l…
Dynamic Motion Blending for Versatile Motion Editing
Nan Jiang, Hongjie Li, Ziye Yuan +5
Text-guided motion editing enables high-level semantic control and iterative modifications beyond traditional keyframe animation. Existing methods rely on limited pre-collected tra…
Autonomous Character-Scene Interaction Synthesis from Text Instruction
Nan Jiang, Zimo He, Zi Wang +4
Synthesizing human motions in 3D environments, particularly those with complex activities such as locomotion, hand-reaching, and human-object interaction, presents substantial dema…
PhyRecon: Physically Plausible Neural Scene Reconstruction
Junfeng Ni, Yixin Chen, Bohan Jing +7
We address the issue of physical implausibility in multi-view neural reconstruction. While implicit representations have gained popularity in multi-view 3D reconstruction, previous…
Move as You Say, Interact as You Can: Language-guided Human Motion Generation with Scene Affordance
Zan Wang, Yixin Chen, Baoxiong Jia +7
Despite significant advancements in text-to-motion synthesis, generating language-guided human motion within 3D environments poses substantial challenges. These challenges stem pri…
AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agents
Jieming Cui, Tengyu Liu, Nian Liu +3
Traditional approaches in physics-based motion generation, centered around imitation learning and reward shaping, often struggle to adapt to new scenarios. To tackle this limitatio…
Scaling Up Dynamic Human-Scene Interaction Modeling
Nan Jiang, Zhiyuan Zhang, Hongjie Li +6
Confronting the challenges of data scarcity and advanced motion synthesis in human-scene interaction modeling, we introduce the TRUMANS dataset alongside a novel HSI motion synthes…
ProBio: A Protocol-guided Multimodal Dataset for Molecular Biology Lab
Jieming Cui, Ziren Gong, Baoxiong Jia +4
The challenge of replicating research results has posed a significant impediment to the field of molecular biology. The advent of modern intelligent systems has led to notable prog…
Single-view 3D Scene Reconstruction with High-fidelity Shape and Texture
Yixin Chen, Junfeng Ni, Nan Jiang +3
Reconstructing detailed 3D scenes from single-view images remains a challenging task due to limitations in existing approaches, which primarily focus on geometric shape recovery, o…