arXiv 2610.28416 · cs.CV · 2026-10-20
Code2Video-Compass: A Comprehensive Benchmark for General-Purpose Code-Based Video Generation across T2V, I2V, and V2V
Zhenghan Chen, Zekai Shao, Xin Lin, Leting Cheng, Siming Chen
Fudan University
在最新榜 #301 本站收录于 2026-10-25
一句话要点
复旦的 Code2Video-Compass 是通用的代码生成视频基准,覆盖文生、图生和视频生视频,考察多模态大模型能否把画面和时序需求写成可执行程序并产出完整视频。
Fudan's Code2Video-Compass is a general benchmark for code-based video generation across T2V, I2V and V2V, testing whether MLLMs can turn visual and temporal requirements into programs that render complete videos.
阅读 arXiv 原文 PDF Hugging Face 讨论 代码仓库 项目页
主题与学科
同主题:视觉生成
- StreamEval: Evaluating Interactive Streaming Video Generation Models ▲649
- MaLiang-Harness: A Programmable Path to Image and Video Generation ▲367
- Any Time, Any Space: A World-State-Centric Framework for Agentic Video Generation ▲364
- DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models ▲325
- Making MLLM Latents Matter: Factor-Aware Predictive Learning for Cinematic Video Generation ▲200
同主题:代码与软件工程
- OpenGCUA: Toward a Fully Open Stack for Generalist Computer Use 2026-10-15 · ▲325
- HexaShell: A Thin Harness for Exploring the Limits of VLM Agents as Robot Coding Agents 2026-10-16 · ▲294
- AgentSWE: Can Coding Agents Build the Agent You Actually Want? 2026-10-09 · ▲233
- CodeMidas: Scaling Agentic Coding RL Environments from Code Itself 2026-09-18 · ▲138
- AesCode: Aesthetic Code Generation with Decoupled Cross-Modal Rewards 2026-10-13 · ▲137
同机构:Fudan University
- Real In, Real Out: What If We Only Use Real Data for Scene Text Editing? 2026-10-20
- Seeing, Maintaining, and Learning: The Evolution of Multimodal Agent Memory 2026-10-14
- BridgeWAM: Bridging Video and Action Experts via Latent Bridge Queries 2026-10-10
- REMORY: Learning Residual Memory for Context Compaction 2026-10-08
- LiveMACE: Process-Aware Evaluation of LLM Agent Capabilities in Evolving Markets 2026-10-07
数据说明
元数据来自 arXiv API(已核实);点赞来自 Hugging Face 每日论文;引用来自 Semantic Scholar。最近刷新 2026-10-26。
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