collaborators

11 papers

cs.CV2026

StreamErase: Towards Ultra-Fast Streaming Video Erasing

Zhuobai Dong, Xiaobing Tu, Xiantao Zhang +4

Current video object removal methods suffer from prohibitive latency (minutes per video) and non-causal processing that prevents real-time interaction. We present StreamErase, enab…

cs.CV2026

Edit-VAR: Taming Visual Autoregressive Model for Precise Video Editing

Chongbo Zhao, Jiangming Wang, Xilai Wang +5

Text-guided video editing modifies target content while preserving the appearance and temporal coherence of unedited regions. Training-based approaches provide strong control but d…

cs.CV2026

EchoWM: Open and Enterable Omnimodal World Models

Songchun Zhang, Yaowei Li, Junhao Zhuang +19

We present EchoWM, an omnimodal world model for enterable generative media that responds to continuous navigation while jointly generating 720p video, environmental sound, music an…

cs.RO2026

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models

Xiangkai Ma, Yue Ma, Junjie Wang +6

World Action Models (WAMs) aim to construct a unified architecture capable of understanding world state evolution and guiding to generative motion planning. However, existing visua…

cs.CV2026

LiveLight: Real-time Streaming Video Relighting with Interactive Control

Yue Ma, Jiangming Wang, Yucheng Wang +8

We present LiveLight, the first diffusion-based framework for real-time streaming video relighting with interactive 3D lighting control. Achieving this is non-trivial, as it requir…

cs.CV2026

EgoGenesis: Egocentric World-Action Modeling with Online Anchored Projective Memory and Action-3D RoPE

Zexuan Yan, Yuzhou Wu, Yue Ma +9

Egocentric video offers rich manipulation experience for embodied AI, yet collecting diverse egocentric data across scenes, objects, motions, and embodiments remains costly. We pre…

cs.CV2026

GeoEdit: Geometry-Aware Object Editing via Dual-Branch Denoising

Yi He, Jiangming Wang, Xinyu Wang +5

Precisely manipulating objects in a single photograph (translation, rotation, scaling) while obeying 3D physical constraints remains unsolved for diffusion-based editors. Current 2…

cs.CV2026

FastVMT: Eliminating Redundancy in Video Motion Transfer

Yue Ma, Zhikai Wang, Tianhao Ren +9

Video motion transfer aims to synthesize videos by generating visual content according to a text prompt while transferring the motion pattern observed in a reference video. Recent…

cs.CV2026

GlyphBanana: Advancing Precise Text Rendering Through Agentic Workflows

Zexuan Yan, Jiarui Jin, Yue Ma +5

Despite recent advances in generative models driving significant progress in text rendering, accurately generating complex text and mathematical formulas remains a formidable chall…

cs.CV2025

EVCtrl: Efficient Control Adapter for Visual Generation

Zixiang Yang, Yue Ma, Yinhan Zhang +3

Visual generation includes both image and video generation, training probabilistic models to create coherent, diverse, and semantically faithful content from scratch. While early r…

cs.CV2025

SkipVAR: Accelerating Visual Autoregressive Modeling via Adaptive Frequency-Aware Skipping

Jiajun Li, Yue Ma, Xinyu Zhang +3

Recent studies on Visual Autoregressive (VAR) models have highlighted that high-frequency components, or later steps, in the generation process contribute disproportionately to inf…