activity
20242026
collaborators

19 papers

cs.CV2026

TrajCFG: Token-Wise Classifier-Free Guidance via Denoising Trajectory Feedback

Jingyu Liu, Hao Jiang, Yikang Ding +6

Classifier-free guidance (CFG) typically applies a shared scale to all latent tokens, although their velocity predictions evolve differently during sampling. We introduce Trajector…

cs.CV2026

SubjectAnchor: Subject-Aware Memory-to-Video for Multi-Shot Storytelling

Xinyu Wang, Huafeng Shi, Zian Li +4

We present SubjectAnchor, a Subject-Aware Memory-to-Video paradigm for multi-shot storytelling in which the current shot is generated by conditioning on explicit visual memories ex…

cs.CV2026

From Evaluation to Enhancement: Benchmarking and Improving Think-with-Video Reasoning for Video Generative Models

Meng Luo, Yicheng Liu, Jiahao Wang +5

Video generation has advanced to produce visually compelling and temporally coherent results. Yet, whether these models can genuinely think with video--executing symbolic rules, re…

cs.CV2026

Human-Centric Image Captioning with Subject-Centered Spatial Understanding

Bozhou Li, Jiahang Zhang, Yue Ding +11

While multimodal large language models (MLLMs) achieve remarkable performance on generic image captioning, they frequently suffer from structural hallucinations in human-centric sc…

cs.MM2026

MVWeaver: A Hierarchical Music Video Generation Agent with a Learned Song-to-Visual Bridge

Sifei Li, Minyan Luo, Xu Li +7

Music videos are an important form of audiovisual expression in contemporary culture. They translate and extend the expressive content of songs through deliberate visual design. Ex…

cs.SD2026

Closing the Verification Loop: Self-Check Captioning for Long-Paragraph Detailed Audio Captioning

Fengji Ma, Yan Rong, Xu Li +3

Long-paragraph detailed audio captioning, which requires dense and transcript-faithful descriptions of fine-grained audio content, remains unsolved for current audio-visual multimo…

cs.CV2026

EmotionDialogCN: A Spontaneous Multimodal Dataset for Mandarin Emotional Dialogue

Yi Zheng, Yifan Xu, Yan Zhou +8

Face-to-face audiovisual interaction is central to human communication, conveying rich emotional and social cues. However, existing multimodal dialogue datasets remain limited by i…

cs.SD2026

SonicWeave: Chunk-Routed Mixture-of-Experts for Unified Audio Scene Generation

Yunrui Cai, Xu Li, Yucheng Zhou +8

Text-conditioned general audio generation is moving beyond isolated speech, music, and sound-effect synthesis toward a single model that can compose them into controllable, coheren…

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

StreamHOI: Interaction-aware Temporal Memory Adaptation for Streaming HOI Video Generation

Zejing Rao, Haoxian Zhang, Xiaoqiang Liu +5

Existing human--object interaction (HOI) video generation methods are largely limited to offline short-video generation with complex driving conditions, making them unsuitable for…

cs.CV2026

MindFlow: Harmonizing Cognitive Semantics and Acoustic Dynamics for Facial Animation Generation in Dyadic Conversations

Hejia Chen, Haoxian Zhang, Xu He +4

Generating lifelike facial animation for dyadic conversations requires reconciling high-level cognitive intent with precise low-level motor reflexes, yet existing methods fall shor…

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

Semantic-Aware Prefix Learning for Token-Efficient Image Generation

Qingfeng Li, Haoxian Zhang, Xu He +4

Visual tokenizers play a central role in latent image generation by bridging high-dimensional images and tractable generative modeling. However, most existing tokenizers are still…

cs.CV2026

IM-Animation: An Implicit Motion Representation for Identity-decoupled Character Animation

Zhufeng Xu, Xuan Gao, Feng-Lin Liu +6

Recent progress in video diffusion models has markedly advanced character animation, which synthesizes motioned videos by animating a static identity image according to a driving v…

cs.CV2025

From Inpainting to Editing: Unlocking Robust Mask-Free Visual Dubbing via Generative Bootstrapping

Xu He, Haoxian Zhang, Hejia Chen +7

Audio-driven visual dubbing aims to synchronize a video's lip movements with new speech but is fundamentally challenged by the lack of ideal training data: paired videos differing…

cs.AI2025

VC-Agent: An Interactive Agent for Customized Video Dataset Collection

Yidan Zhang, Mutian Xu, Yiming Hao +6

Facing scaling laws, video data from the internet becomes increasingly important. However, collecting extensive videos that meet specific needs is extremely labor-intensive and tim…

cs.CV2025

Kling-Avatar: Grounding Multimodal Instructions for Cascaded Long-Duration Avatar Animation Synthesis

Yikang Ding, Jiwen Liu, Wenyuan Zhang +11

Recent advances in audio-driven avatar video generation have significantly enhanced audio-visual realism. However, existing methods treat instruction conditioning merely as low-lev…

cs.CV2024

MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding

Yuan Wang, Di Huang, Yaqi Zhang +5

Generating lifelike human motions from descriptive texts has experienced remarkable research focus in the recent years, propelled by the emerging requirements of digital humans.Des…