2 citations · 3 across the 34 of their papers we have counts for
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Code2Worlds-2: Physically Plausible Agent Harness for Embodied World Simulation
Haoyu Zhang, Siming Li, Zeyu Zhang +3
Recent coding large language models (LLMs) can synthesize dynamic 4D worlds from natural language, but the resulting content remains a visual artifact. It lacks physical semantics…
Code2Games: Enabling Coding Agents for Gaming World Generation
Wei Wu, Ziyang Xu, Zeyu Zhang +2
Generating a high-quality gaming world from a natural-language game intent requires joint reasoning about scene structure, spatial layout, gameplay objectives, interactive entities…
PWM: Personalized World Models with Online Reinforcement Learning
Zhexin Lou, Guancheng Lu, Zeyu Zhang +3
Pretrained world models can generate diverse environments, yet users often want to explore a particular scene specified by their own video. This requires learning the scene's visua…
Language-Forcing: Advancing Humanoid Loco-Manipulation via Semantic Alignment of Whole-Body World Action Models
Yanjun Li, Jiarui Ye, Weiyu Guo +7
World Action Models (WAMs) jointly predict robot actions and future observations. However, their visual prediction objectives do not explicitly distinguish task-relevant transition…
ReMoMask-2: Latent Retrieval-Augmented Masked Motion Generation
Yiran Wang, Zeyu Zhang, Ling Shao +1
Text-to-motion (T2M) generation maps natural language to human joint movements, aiding gaming, VR, and robotics. Retrieval-Augmented Text-to-Motion (RAG-T2M) improves generation on…
MobileVLA-R1 2.0: RL-Enhanced Reasoning for Mobile Robot Control
Ting Huang, Yue Huang, Zeyu Zhang +2
Grounding natural-language instructions into reliable and executable actions remains a fundamental challenge for vision-language-action (VLA) systems on mobile robots, due to the p…
MemGuard: Persisting Verifier Signals for LLM-Agent Memory Governance
Haoyu Wang, Guangyuan Dong, He Liang +5
LLM agents are moving from single-prompt use to long task streams in which reusable memory becomes a core capability for terminal, software-engineering, and web tasks. Such memory…
ConsiSpace: Learning Geometric Consistency Matters for Video Spatial Reasoning
Ting Huang, Zhenyu Zhang, Wenyuan Huang +2
Video spatial reasoning is essential for navigation-oriented perception and long-video question answering, where models must infer spatial relations across long horizons under chan…
GeneralVLA-2: Geometry-Aware Reconstruction and Governed Memory for Robot Planning
Haoyu Wang, Guoqing Ma, Zeyu Zhang +3
Generalist vision-language-action systems need object-centric 3D evidence and reusable manipulation experience to plan reliable robot trajectories. GeneralVLA provides a hierarchic…
Learning New Tasks via Reusable Skills: Skill-Compositional Experts for Embodied Continual Learning
Shuaike Zhang, Shaokun Wang, Haoyu Tang +2
Embodied Continual Learning (ECL) aims to enable robots to continually acquire new manipulation tasks while retaining previously learned behaviors under closed-loop control. In ECL…
MotionVLA: Vision-Language-Action Model for Humanoid Motion
Nonghai Zhang, Siyu Zhai, Yanjun Li +5
Generating realistic humanoid motion from scene images and text involves both low-frequency pose semantics and high-frequency physical dynamics. However, many existing methods toke…
DragMesh-2: Physically Plausible Dexterous Hand-Object Interaction with Articulated Objects
Tianshan Zhang, Yijia Duan, Yanjun Li +2
Dexterous interaction with articulated objects is important for household, assistive, and humanoid manipulation, where multi-finger hands can provide compliant contact patterns bey…
PresentAgent-2: Towards Generalist Multimodal Presentation Agents
Wei Wu, Ziyang Xu, Zeyu Zhang +2
Presentation generation is moving beyond static slide creation toward end-to-end presentation video generation with research grounding, multimodal media, and interactive delivery.…
Lite3R: A Model-Agnostic Framework for Efficient Feed-Forward 3D Reconstruction
Haoyu Zhang, Zeyu Zhang, Zedong Zhou +2
Transformer-based 3D reconstruction has emerged as a powerful paradigm for recovering geometry and appearance from multi-view observations, offering strong performance across chall…
UniMesh: Unifying 3D Mesh Understanding and Generation
Peng Huang, Yifeng Chen, Zeyu Zhang +1
Recent advances in 3D vision have led to specialized models for either 3D understanding (e.g., shape classification, segmentation, reconstruction) or 3D generation (e.g., synthesis…
HSG: Hyperbolic Scene Graph
Liyang Wang, Zeyu Zhang, Hao Tang
Scene graph representations enable structured visual understanding by modeling objects and their relationships, and have been widely used for multiview and 3D scene reasoning. Exis…
The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results
Xingyu Qiu, Yuqian Fu, Jiawei Geng +70
Cross-domain few-shot object detection (CD-FSOD) remains a challenging problem for existing object detectors and few-shot learning approaches, particularly when generalizing across…
MEMENTO: Teaching LLMs to Manage Their Own Context
Vasilis Kontonis, Yuchen Zeng, Shivam Garg +7
Reasoning models think in long, unstructured streams with no mechanism for compressing or organizing their own intermediate state. We introduce MEMENTO: a method that teaches model…
MWM: Mobile World Models for Action-Conditioned Consistent Prediction
Han Yan, Zishang Xiang, Zeyu Zhang +1
World models enable planning in imagined future predicted space, offering a promising framework for embodied navigation. However, existing navigation world models often lack action…
PartRAG: Retrieval-Augmented Part-Level 3D Generation and Editing
Peize Li, Zeyu Zhang, Hao Tang
Single-image 3D generation with part-level structure remains challenging: learned priors struggle to cover the long tail of part geometries and maintain multi-view consistency, and…
StereoAdapter-2: Globally Structure-Consistent Underwater Stereo Depth Estimation
Zeyu Ren, Xiang Li, Yiran Wang +2
Stereo depth estimation is fundamental to underwater robotic perception, yet suffers from severe domain shifts caused by wavelength-dependent light attenuation, scattering, and ref…
MoRL: Reinforced Reasoning for Unified Motion Understanding and Generation
Hongpeng Wang, Zeyu Zhang, Wenhao Li +1
Human motion understanding and generation are crucial for vision and robotics but remain limited in reasoning capability and test-time planning. We propose MoRL, a unified multimod…
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…
Code2Worlds: Empowering Coding LLMs for 4D World Generation
Yi Zhang, Yunshuang Wang, Zeyu Zhang +1
Achieving spatial intelligence requires moving beyond visual plausibility to build world simulators grounded in physical laws. While coding LLMs have advanced static 3D scene gener…