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Video Alignment

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Benchmarks

UPenn Action

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Most implemented

Papers

TF-CADE: Foreground-Concentrated Text-Video Alignment for Zero-Shot Temporal Action Detection

2026-08-18 · Yearang Lee, Ho-Joong Kim, Seong-Whan Lee arxiv

Zero-Shot Temporal Action Detection (ZSTAD) aims to lo- calize and recognize action instances from unseen action categories in untrimmed videos. Although existing meth- ods have shown effectiveness by advancing architect…

Action DetectionVideo Alignment

MultiRef-Compass: Towards Comprehensive Evaluation of Multi-Reference-to-Audio-Video Generation

2026-07-15 · Xiaohan Zhang, Yuqing Wen, Junlin Chen, Yuqi Tang 외 hf

Multi-reference-to-audio-video (MR2AV) generation aims to generate coherent audio-video content conditioned on multiple references and textual instructions. Existing benchmarks mainly focus on text-driven generation, sin…

Instruction FollowingVideo GenerationVideo Alignment

CineDance: Towards Next-Generation Multi-Shot Long-Form Cinematic Audio-Video Generation

2026-06-08 · Yuheng Chen, Teng Hu, Yuji Wang, Qingdong He 외 arxiv

The fidelity and structural diversity of training datasets fundamentally determine the capabilities of video generation models. While commercial systems showremarkableabilitytogeneratecinematicnarratives, the progress of…

Video GenerationVideo Alignment

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models

2026-05-30 · Shengjun Zhang, Zhang Zhang, Simin Huang, Zhenyu Tang 외 arxiv

Recent advancements in video-based world models have demonstrated an unprecedented ability to synthesize high-fidelity visual sequences. However, a fundamental gap persists between visually plausible video generation and…

Video GenerationVideo Alignment

AgentCVR: Active Multi-Agent Cross-Video Reasoning via Script-Simulated Reinforcement Learning

2026-05-28 · Yilun Qiu, Jiahe Wang, Cilin Yan, Jiayin Cai 외 arxiv

Cross-Video Reasoning (CVR) has emerged as a critical frontier in multimodal intelligence, requiring models to retrieve, align, and aggregate evidence distributed across multiple videos. Current Multimodal Large Language…

Reinforcement LearningVideo Alignment

Native Audio-Visual Alignment for Generation

2026-05-28 · Longbin Ji, Guan Wang, Xuan Wei, Chenye Yang 외 arxiv

Joint audio-video generation aims to synthesize temporally synchronized and semantically coherent visual-acoustic content. However, existing open-source methods mainly rely on either dual-tower designs with posterior ali…

Video GenerationVideo Alignment

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