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20242026
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Showing 2025 · cs.CVShow all

8 papers · 2 filters

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…