activity
20242026
collaborators

19 papers

cs.CV2026

AnchorWorld: Embodied Egocentric World Simulation with View-based Evolution Customization

Yu Li, Menghan Xia, Gongye Liu +8

Despite being a pivotal frontier, interactive world modeling remains underexplored in terms of the versatile controllability required by practical scenarios. To bridge this gap, we…

cs.LG2026

DiffusionOPD: A Unified Perspective of On-Policy Distillation in Diffusion Models

Quanhao Li, Junqiu Yu, Kaixun Jiang +7

Reinforcement learning has emerged as a powerful tool for improving diffusion-based text-to-image models, but existing methods are largely limited to single-task optimization. Exte…

cs.CV2026

Video-Zero: Self-Evolution Video Understanding

Ruixu Zhang, Deyi Ji, Lanyun Zhu +4

Self-evolution offers a promising path for improving reasoning models without relying on intensive human annotation. However, extending this paradigm to video understanding remains…

cs.GR2026

Velocity-Space 3D Asset Editing

Hao Liu, Yuxuan Lin, Jingfeng Guo +4

Local 3D asset editing requires modifying a target region while preserving the rest. Existing methods enforce locality through mechanisms external to the generator, such as manual…

cs.LG2026

Smaller Models are Natural Explorers for Policy-Level Diversity in GRPO

Yiran Xu, Yiming Ren, Zicheng Lin +8

We identify a new dimension for enhancing rollout diversity in Group Relative Policy Optimization (GRPO) for LLMs. While GRPO relies on diverse rollouts, prevailing strategies prim…

cs.CV2026

From Narrow to Panoramic Vision: Attention-Guided Cold-Start Reshapes Multimodal Reasoning

Ruilin Luo, Chufan Shi, Yizhen Zhang +10

The cold-start initialization stage plays a pivotal role in training Multimodal Large Reasoning Models (MLRMs), yet its mechanisms remain insufficiently understood. To analyze this…

cs.CL2026

SIN-Bench: Tracing Native Evidence Chains in Long-Context Multimodal Scientific Interleaved Literature

Yiming Ren, Junjie Wang, Yuxin Meng +11

Evaluating whether multimodal large language models truly understand long-form scientific papers remains challenging: answer-only metrics and synthetic "Needle-In-A-Haystack" tests…

cs.CL2026

X-Coder: Advancing Competitive Programming with Synthetic Tasks, Solutions, and Tests

Jie Wu, Haoling Li, Xin Zhang +8

Competitive programming remains challenging for code LLMs. Despite recent progress, many training pipelines still depend on scarce real-world data, raising concerns about scalabili…

cs.CV2025

VideoZoomer: Reinforcement-Learned Temporal Focusing for Long Video Reasoning

Yang Ding, Yizhen Zhang, Xin Lai +2

Multimodal Large Language Models (MLLMs) have achieved remarkable progress in vision-language tasks yet remain limited in long video understanding due to the limited context window…

cs.CV2025

Wan-Move: Motion-controllable Video Generation via Latent Trajectory Guidance

Ruihang Chu, Yefei He, Zhekai Chen +10

We present Wan-Move, a simple and scalable framework that brings motion control to video generative models. Existing motion-controllable methods typically suffer from coarse contro…

cs.CV2025

Nav- Dual-Relation Reasoning for Generalizable Open-Vocabulary Object-Goal Navigation

Wentao Xiang, Haokang Zhang, Tianhang Yang +10

Object-goal navigation in open-vocabulary settings requires agents to locate novel objects in unseen environments, yet existing approaches suffer from opaque decision-making proces…

cs.CV2025

Generative Universal Verifier as Multimodal Meta-Reasoner

Xinchen Zhang, Xiaoying Zhang, Youbin Wu +5

We introduce Generative Universal Verifier, a novel concept and plugin designed for next-generation multimodal reasoning in vision-language models and unified multimodal models, pr…

cs.CV2025

AdaViewPlanner: Adapting Video Diffusion Models for Viewpoint Planning in 4D Scenes

Yu Li, Menghan Xia, Gongye Liu +7

Recent Text-to-Video (T2V) models have demonstrated powerful capability in visual simulation of real-world geometry and physical laws, indicating its potential as implicit world mo…

cs.CV2025

O-DisCo-Edit: Object Distortion Control for Unified Realistic Video Editing

Yuqing Chen, Junjie Wang, Lin Liu +4

Diffusion models have recently advanced video editing, yet controllable editing remains challenging due to the need for precise manipulation of diverse object properties. Current m…

cs.CV2025

AnyCap Project: A Unified Framework, Dataset, and Benchmark for Controllable Omni-modal Captioning

Yiming Ren, Zhiqiang Lin, Yu Li +8

Controllable captioning is essential for precise multimodal alignment and instruction following, yet existing models often lack fine-grained control and reliable evaluation protoco…

cs.CV2025

Zero-P-to-3: Zero-Shot Partial-View Images to 3D Object

Yuxuan Lin, Ruihang Chu, Zhenyu Chen +9

Generative 3D reconstruction shows strong potential in incomplete observations. While sparse-view and single-image reconstruction are well-researched, partial observation remains u…

cs.CL2025

Teaching Your Models to Understand Code via Focal Preference Alignment

Jie Wu, Haoling Li, Xin Zhang +8

Preference learning extends the performance of Code LLMs beyond traditional supervised fine-tuning by leveraging relative quality comparisons. In existing approaches, a set of n ca…

cs.CL2025

Unlocking Multimodal Mathematical Reasoning via Process Reward Model

Ruilin Luo, Zhuofan Zheng, Yifan Wang +9

Process Reward Models (PRMs) have shown promise in enhancing the mathematical reasoning capabilities of Large Language Models (LLMs) through Test-Time Scaling (TTS). However, their…

cs.CV2024

LayoutDiT: Exploring Content-Graphic Balance in Layout Generation with Diffusion Transformer

Yu Li, Yifan Chen, Gongye Liu +6

Layout generation is a foundation task of graphic design, which requires the integration of visual aesthetics and harmonious expression of content delivery. However, existing metho…