T2VTextBench: A Human Evaluation Benchmark for Textual Control in Video Generation Models
Fuente:
arXiv
Saved in:
| Main Authors: | Guo, Xuyang, Huo, Jiayan, Shi, Zhenmei, Song, Zhao, Zhang, Jiahao, Zhao, Jiale |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
T2VPhysBench: A First-Principles Benchmark for Physical Consistency in Text-to-Video Generation
by: Guo, Xuyang, et al.
Published: (2025)
by: Guo, Xuyang, et al.
Published: (2025)
T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation
by: Chen, Yubin, et al.
Published: (2025)
by: Chen, Yubin, et al.
Published: (2025)
Can You Count to Nine? A Human Evaluation Benchmark for Counting Limits in Modern Text-to-Video Models
by: Guo, Xuyang, et al.
Published: (2025)
by: Guo, Xuyang, et al.
Published: (2025)
Text-to-Image Diffusion Models Cannot Count, and Prompt Refinement Cannot Help
by: Guo, Xuyang, et al.
Published: (2025)
by: Guo, Xuyang, et al.
Published: (2025)
Your Vision-Language Model Can't Even Count to 20: Exposing the Failures of VLMs in Compositional Counting
by: Guo, Xuyang, et al.
Published: (2025)
by: Guo, Xuyang, et al.
Published: (2025)
ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation
by: Yuan, Shenghai, et al.
Published: (2024)
by: Yuan, Shenghai, et al.
Published: (2024)
Video-SafetyBench: A Benchmark for Safety Evaluation of Video LVLMs
by: Liu, Xuannan, et al.
Published: (2025)
by: Liu, Xuannan, et al.
Published: (2025)
V2P-Bench: Evaluating Video-Language Understanding with Visual Prompts for Better Human-Model Interaction
by: Zhao, Yiming, et al.
Published: (2025)
by: Zhao, Yiming, et al.
Published: (2025)
Unveil: Unified Visual-Textual Integration and Distillation for Multi-modal Document Retrieval
by: Sun, Hao, et al.
Published: (2026)
by: Sun, Hao, et al.
Published: (2026)
CML-Bench: A Framework for Evaluating and Enhancing LLM-Powered Movie Scripts Generation
by: Zheng, Mingzhe, et al.
Published: (2025)
by: Zheng, Mingzhe, et al.
Published: (2025)
VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos
by: Song, Tingyu, et al.
Published: (2025)
by: Song, Tingyu, et al.
Published: (2025)
MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly
by: Wang, Zhaowei, et al.
Published: (2025)
by: Wang, Zhaowei, et al.
Published: (2025)
RichSpace: Enriching Text-to-Video Prompt Space via Text Embedding Interpolation
by: Cao, Yuefan, et al.
Published: (2025)
by: Cao, Yuefan, et al.
Published: (2025)
VCR-Bench: A Comprehensive Evaluation Framework for Video Chain-of-Thought Reasoning
by: Qi, Yukun, et al.
Published: (2025)
by: Qi, Yukun, et al.
Published: (2025)
Heron-Bench: A Benchmark for Evaluating Vision Language Models in Japanese
by: Inoue, Yuichi, et al.
Published: (2024)
by: Inoue, Yuichi, et al.
Published: (2024)
TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation
by: Feng, Weixi, et al.
Published: (2024)
by: Feng, Weixi, et al.
Published: (2024)
VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models
by: Li, Lei, et al.
Published: (2024)
by: Li, Lei, et al.
Published: (2024)
VPO: Aligning Text-to-Video Generation Models with Prompt Optimization
by: Cheng, Jiale, et al.
Published: (2025)
by: Cheng, Jiale, et al.
Published: (2025)
Universal Approximation of Visual Autoregressive Transformers
by: Chen, Yifang, et al.
Published: (2025)
by: Chen, Yifang, et al.
Published: (2025)
AVGen-Bench: A Task-Driven Benchmark for Multi-Granular Evaluation of Text-to-Audio-Video Generation
by: Zhou, Ziwei, et al.
Published: (2026)
by: Zhou, Ziwei, et al.
Published: (2026)
GDI-Bench: A Benchmark for General Document Intelligence with Vision and Reasoning Decoupling
by: Li, Siqi, et al.
Published: (2025)
by: Li, Siqi, et al.
Published: (2025)
RoPE Attention Can Be Trained in Almost Linear Time
by: Cao, Yang, et al.
Published: (2024)
by: Cao, Yang, et al.
Published: (2024)
Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots
by: Wu, Chengyue, et al.
Published: (2024)
by: Wu, Chengyue, et al.
Published: (2024)
RoboTrustBench: Benchmarking the Trustworthiness of Video World Models for Robotic Manipulation
by: Li, Huiqiong, et al.
Published: (2026)
by: Li, Huiqiong, et al.
Published: (2026)
IV-Bench: A Benchmark for Image-Grounded Video Perception and Reasoning in Multimodal LLMs
by: Ma, David, et al.
Published: (2025)
by: Ma, David, et al.
Published: (2025)
RiskCueBench: Benchmarking Anticipatory Reasoning from Early Risk Cues in Video-Language Models
by: Luo, Sha, et al.
Published: (2026)
by: Luo, Sha, et al.
Published: (2026)
VEFX-Bench: A Holistic Benchmark for Generic Video Editing and Visual Effects
by: Gao, Xiangbo, et al.
Published: (2026)
by: Gao, Xiangbo, et al.
Published: (2026)
Anim-Director: A Large Multimodal Model Powered Agent for Controllable Animation Video Generation
by: Li, Yunxin, et al.
Published: (2024)
by: Li, Yunxin, et al.
Published: (2024)
EgoPlan-Bench: Benchmarking Multimodal Large Language Models for Human-Level Planning
by: Chen, Yi, et al.
Published: (2023)
by: Chen, Yi, et al.
Published: (2023)
RefereeBench: Are Video MLLMs Ready to be Multi-Sport Referees
by: Xu, Yichen, et al.
Published: (2026)
by: Xu, Yichen, et al.
Published: (2026)
VCG-Bench: Towards A Unified Visual-Centric Benchmark for Structured Generation and Editing
by: Su, Xiaoyan, et al.
Published: (2026)
by: Su, Xiaoyan, et al.
Published: (2026)
Face-Human-Bench: A Comprehensive Benchmark of Face and Human Understanding for Multi-modal Assistants
by: Qin, Lixiong, et al.
Published: (2025)
by: Qin, Lixiong, et al.
Published: (2025)
T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation
by: He, Yuze, et al.
Published: (2023)
by: He, Yuze, et al.
Published: (2023)
Learning from Massive Human Videos for Universal Humanoid Pose Control
by: Mao, Jiageng, et al.
Published: (2024)
by: Mao, Jiageng, et al.
Published: (2024)
VULCA-Bench: A Multicultural Vision-Language Benchmark for Evaluating Cultural Understanding
by: Yu, Haorui, et al.
Published: (2026)
by: Yu, Haorui, et al.
Published: (2026)
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
by: Fu, Chaoyou, et al.
Published: (2024)
by: Fu, Chaoyou, et al.
Published: (2024)
MER-Bench: A Comprehensive Benchmark for Multimodal Meme Reappraisal
by: Nie, Yiqi, et al.
Published: (2026)
by: Nie, Yiqi, et al.
Published: (2026)
Video-Based Reward Modeling for Computer-Use Agents
by: Song, Linxin, et al.
Published: (2026)
by: Song, Linxin, et al.
Published: (2026)
LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding
by: Wu, Haoning, et al.
Published: (2024)
by: Wu, Haoning, et al.
Published: (2024)
R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation
by: Chen, Kaijie, et al.
Published: (2025)
by: Chen, Kaijie, et al.
Published: (2025)
Similar Items
-
T2VPhysBench: A First-Principles Benchmark for Physical Consistency in Text-to-Video Generation
by: Guo, Xuyang, et al.
Published: (2025) -
T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation
by: Chen, Yubin, et al.
Published: (2025) -
Can You Count to Nine? A Human Evaluation Benchmark for Counting Limits in Modern Text-to-Video Models
by: Guo, Xuyang, et al.
Published: (2025) -
Text-to-Image Diffusion Models Cannot Count, and Prompt Refinement Cannot Help
by: Guo, Xuyang, et al.
Published: (2025) -
Your Vision-Language Model Can't Even Count to 20: Exposing the Failures of VLMs in Compositional Counting
by: Guo, Xuyang, et al.
Published: (2025)