Behind Video Generation: Observations and Insights on Multimodal Understanding from Kling Paper • 2611.04916 • Published 8 days ago • 77
Behind Video Generation: Observations and Insights on Multimodal Understanding from Kling Paper • 2611.04916 • Published 8 days ago • 77
Reviso: Not All Visual Evidence Deserves Equal Attention in Video Captioning Paper • 2611.03602 • Published 9 days ago • 26
CodeCap-Bench: Can Code Serve as a Good Video Caption? Paper • 2610.37341 • Published 15 days ago • 53
Verus-Insight: Towards Explainable Artifact Detection in AI-Generated Videos Paper • 2610.30866 • Published 20 days ago • 15
Socratic Skill Learning: Interleaving Teaching and Practice for Transferable Agent Skills Paper • 2610.17860 • Published 29 days ago • 34
HiRAE: Hierarchical Representation Autoencoding with Residual Budgets Paper • 2609.37775 • Published Sep 29 • 16
Think Before You Score: Thinking Reward Model for Visual Generation Paper • 2609.37372 • Published Sep 29 • 58
CoinVE-200K: A Large-Scale High-Quality Dataset for Compositional Instruction-Guided Video Editing Paper • 2608.17566 • Published Aug 18 • 16 • 3
OmniPack: Unified Token Compression for Efficient Omni-modal Large Language Models Paper • 2608.03812 • Published Aug 4 • 18
RefCaptioner: Multi-Reference Image-Grounded Video Captioning Paper • 2607.28509 • Published Jul 30 • 29
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Paper • 2607.28595 • Published Jul 30 • 53
CoVEBench: Can Video Editing Models Handle Complex Instructions? Paper • 2606.08415 • Published Jun 7 • 48
LongAV-Compass: Towards Unified Evaluation of Minute-Scale Audio-Visual Generation Across T2AV, I2AV, and V2AV Paper • 2605.26244 • Published May 25 • 35
Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenization Paper • 2605.10780 • Published May 12 • 32
TimeChat-Captioner: Scripting Multi-Scene Videos with Time-Aware and Structural Audio-Visual Captions Paper • 2602.08711 • Published Feb 9 • 29
OmniSIFT: Modality-Asymmetric Token Compression for Efficient Omni-modal Large Language Models Paper • 2602.04804 • Published Feb 4 • 50