DramaChain Bench: An End-to-End Benchmark for Short-Drama Generation

arXiv:2609.00646 · cs.AI · Submitted 2026-09-01 · Read on arXiv

cs.AI

Submitted: 2026-09-01

Updated: 2026-10-03

Comments: 50 pages, 19 figures, 19 tables. Technical report. Haoyuan Shi and Mingtao Chen contributed equally. Project lead: Zhichao Hu. Corresponding author: Richeng Xuan

Code: https://github.com/resemble-ai/Resemblyzer

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Consistency — 93× in this paper · explained in 3 episodes
• Benchmark — 41× in this paper · explained in 2 episodes
• Fidelity — 29× in this paper · explained in 2 episodes
• Alignment — 8× in this paper · explained in 1 episode
• Accuracy — 6× in this paper · explained in 1 episode
• Core — 4× in this paper · explained in 2 episodes
• Benchmarking — 3× in this paper · explained in 3 episodes
• Calibration — 3× in this paper · explained in 7 episodes
• Conference on Computer Vision and Pattern Recognition — 3× in this paper
• Failure Modes — 3× in this paper · explained in 3 episodes
• Optical Flow — 3× in this paper · explained in 2 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Prompt Engineering — 2× in this paper · explained in 4 episodes
• Semantic Alignment — 2× in this paper · explained in 3 episodes
• Alignment Scores — 1× in this paper · explained in 1 episode
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Evaluation Dimensions — 1× in this paper · explained in 3 episodes
• External Validation — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• LLM judge — 1× in this paper · explained in 2 episodes
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Multi-agent Collaboration — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation
• ArtiMuse: Fine-Grained Image Aesthetics Assessment with Joint Scoring and Expert-Level Understanding
• UniPercept: Towards Unified Perceptual-Level Image Understanding across Aesthetics, Quality, Structure, and Texture
• DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation
• CineDance: Towards Next-Generation Multi-Shot Long-Form Cinematic Audio-Video Generation
• Video-Bench: Human-Aligned Video Generation Benchmark
• EntityBench: Towards Entity-Consistent Long-Range Multi-Shot Video Generation
• UnityShots: Memory-Driven Multi-Shot Audio-Video Generation with Boundary-Aware Gating
• ViMax: Agentic Video Generation
• Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models
• MTAVG-Bench 2.0: Diagnosing Failure Modes of Cinematic Expressiveness in Multi-Talker Audio-Video Generation
• Qwen-Image-Bench: From Generation to Creation in Text-to-Image Evaluation
• Anim-Director: A Large Multimodal Model Powered Agent for Controllable Animation Video Generation
• Omni-Judge: Can Omni-LLMs Serve as Human-Aligned Judges for Text-Conditioned Audio-Video Generation?
• UniVA: Universal Video Agent towards Open-Source Next-Generation Video Generalist
• ReCA: Multi-Shot Long Video Extrapolation via Recursive Context Allocation
• ShotBench: Expert-Level Cinematic Understanding in Vision-Language Models
• LongAV-Compass: Towards Unified Evaluation of Minute-Scale Audio-Visual Generation Across T2AV, I2AV, and V2AV
• A$^2$RD: Agentic Autoregressive Diffusion for Long Video Consistency
• DramaBench: A Six-Dimensional Evaluation Framework for Drama Script Continuation

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