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20242026
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cs.CV2026

TARS: Timestep-Aware Data Scaling for 3D-Free Video Re-Shooting

Jiwen Liu, Shujuan Li, Xiaohan Li +5

Video re-shooting aims to regenerate videos with controllable camera motion and viewpoint. Existing methods rely on explicit 3D priors, which are limited by reconstruction quality…

cs.CV2026

Vera: Identity-Faithful Human Subject-to-Video Generation

Yulong Xu, Xinyue Liu, Shujuan Li +6

Subject-to-video (S2V) generation has made substantial progress in preserving reference subjects across diverse categories, yet generic subject consistency remains insufficient for…

cs.CV2026

OmniDirector: General Multi-Shot Camera Cloning without Cross-Paired Data

Jiwen Liu, Shujuan Li, Zhixue Fang +8

Cloning camera motion from reference videos is an important task in video generation, as videos provide intuitive and precise control. Existing methods either directly use parametr…

cs.CV2026

ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation

Zijie Meng, Jiwen Liu, Yufei Liu +5

Subject-preserving video generation is not solved by frontal-face similarity alone: a generated person must remain recognizable across motion, large viewpoint changes, expression s…

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…

cs.CV2025

KlingAvatar 2.0 Technical Report

Kling Team, Jialu Chen, Yikang Ding +25

Avatar video generation models have achieved remarkable progress in recent years. However, prior work exhibits limited efficiency in generating long-duration high-resolution videos…