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20242026
most citedLongCat-Video Technical Report

1 citations · 1 across the 9 of their papers we have counts for

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cs.CV2026

Can Image Agents Complete Visual Commissions? A Benchmark and Modular Framework

Tong Li, Lishuai Gao, Qi Zeng +4

Visual commissions require image agents to integrate heterogeneous source materials, preserve requirements across dependent stages, and produce coordinated deliverables. Existing e…

cs.CV2026

Diagnose-to-Generate: Eliminating Structural Distortions in Flow Models via Patch-Level Grounded Alignment

Yifan Li, Lishuai Gao, Tong Zhang +8

Flow-based image generators achieve strong semantic synthesis but still produce localized structural distortions, such as malformed hands and limbs. Existing post-training methods…

cs.CV2026

InfoAgent: Traceable Generation and Repair of Evidence-Grounded Infographics

Yifan Li, Tong Li, Qi Zeng +6

Reliable infographic generation requires facts, symbols, and visual relations to remain consistent through rendering and revision. Correcting one element also requires tracking its…

cs.CV2026

Temporal and Cross-Modal Alignment for Enhanced Audiovisual Video Captioning

Chen Zhao, Jiajun Ma, Qilong Huang +6

While Multimodal Large Language Models (MLLMs) have advanced video understanding, achieving precise temporal and cross-modal alignment in audiovisual video captioning remains a for…

cs.CV2026

WildActor: Unconstrained Identity-Preserving Video Generation

Qin Guo, Tianyu Yang, Xuanhua He +5

Production-ready human video generation requires digital actors to maintain strictly consistent full-body identities across dynamic shots, viewpoints and motions, a setting that re…

cs.CV2026

U-Mind: A Unified Framework for Real-Time Multimodal Interaction with Audiovisual Generation

Xiang Deng, Feng Gao, Yong Zhang +5

Full-stack multimodal interaction in real-time is a central goal in building intelligent embodied agents capable of natural, dynamic communication. However, existing systems are ei…

cs.CV2026

Infinite-World: Scaling Interactive World Models to 1000-Frame Horizons via Pose-Free Hierarchical Memory

Ruiqi Wu, Xuanhua He, Meng Cheng +8

We propose Infinite-World, a robust interactive world model capable of maintaining coherent visual memory over 1000+ frames in complex real-world environments. While existing world…

cs.CV2026

LUVE : Latent-Cascaded Ultra-High-Resolution Video Generation with Dual Frequency Experts

Chen Zhao, Jiawei Chen, Hongyu Li +6

Recent advances in video diffusion models have significantly improved visual quality, yet ultra-high-resolution (UHR) video generation remains a formidable challenge due to the com…

cs.CV2025

Active Intelligence in Video Avatars via Closed-loop World Modeling

Xuanhua He, Tianyu Yang, Ke Cao +6

Current video avatar generation methods excel at identity preservation and motion alignment but lack genuine agency, they cannot autonomously pursue long-term goals through adaptiv…

cs.CV2025

MAViD: A Multimodal Framework for Audio-Visual Dialogue Understanding and Generation

Youxin Pang, Jiajun Liu, Lingfeng Tan +6

We propose MAViD, a novel Multimodal framework for Audio-Visual Dialogue understanding and generation. Existing approaches primarily focus on non-interactive systems and are limite…

cs.CV2025★ 1 cited

LongCat-Video Technical Report

Meituan LongCat Team, Xunliang Cai, Qilong Huang +8

Video generation is a critical pathway toward world models, with efficient long video inference as a key capability. Toward this end, we introduce LongCat-Video, a foundational vid…

cs.CV2025

InfiniteTalk: Audio-driven Video Generation for Sparse-Frame Video Dubbing

Shaoshu Yang, Zhe Kong, Feng Gao +8

Recent breakthroughs in video AIGC have ushered in a transformative era for audio-driven human animation. However, conventional video dubbing techniques remain constrained to mouth…

cs.CV2025

DAM-VSR: Disentanglement of Appearance and Motion for Video Super-Resolution

Zhe Kong, Le Li, Yong Zhang +8

Real-world video super-resolution (VSR) presents significant challenges due to complex and unpredictable degradations. Although some recent methods utilize image diffusion models f…

cs.CV2025

Let Them Talk: Audio-Driven Multi-Person Conversational Video Generation

Zhe Kong, Feng Gao, Yong Zhang +5

Audio-driven human animation methods, such as talking head and talking body generation, have made remarkable progress in generating synchronized facial movements and appealing visu…