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cs.CV2026

Motion Beyond Morphology: Bootstrapping Cross-Category Motion Transfer from Abstract Motion Representations

Zhixue Fang, Zhimin Zhang, Bi'an Du +6

Video motion transfer aims to animate a target object using dynamics from a reference video. Existing formulations largely rely on fixed structural correspondence, which becomes il…

cs.CV2026

MAVIN: Multi-Shot Audio-Visual Generation with Customized Narrative Control

Kaiqi Liu, Yunyao Mao, Ziqi Cai +8

While recent generative models produce high-fidelity videos, they struggle with the complex narrative control required for coherent multi-shot audio-visual generation. Existing met…

cs.CV2026

MemLearner: Learning to Query Context memory for Video World Models

Jiwen Yu, Jianxiong Gao, Jianhong Bai +7

Video World Models are interactive video generation models that predict future world states based on user actions and history video frames. A critical challenge in video world mode…

cs.CV2026

VLMs are Good Teachers for Video Reasoning via Adaptive Test-Time Optimization

Junhao Cheng, Liang Hou, Tianxiong Zhong +4

The recent "Reasoning with Video" paradigm utilizes Video Generation Models (VGMs) to generate temporally coherent visual trajectories to complete reasoning tasks. Although state-o…

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.CV2026

Kling-MotionControl Technical Report

Kling Team, Jialu Chen, Yikang Ding +21

Character animation aims to generate lifelike videos by transferring motion dynamics from a driving video to a reference image. Recent strides in generative models have paved the w…