FingER: Content Aware Fine-grained Evaluation with Reasoning for AI-Generated Videos
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Rui, Sun, Lei, Tang, Jing, Li, Geng, Chu, Xiangxiang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Video-CoE: Reinforcing Video Event Prediction via Chain of Events
by: Su, Qile, et al.
Published: (2026)
by: Su, Qile, et al.
Published: (2026)
Koala-36M: A Large-scale Video Dataset Improving Consistency between Fine-grained Conditions and Video Content
by: Wang, Qiuheng, et al.
Published: (2024)
by: Wang, Qiuheng, et al.
Published: (2024)
AIGCBench: Comprehensive Evaluation of Image-to-Video Content Generated by AI
by: Fan, Fanda, et al.
Published: (2024)
by: Fan, Fanda, et al.
Published: (2024)
Artifact-Aware Evaluation for High-Quality Video Generation
by: Zhu, Chen, et al.
Published: (2026)
by: Zhu, Chen, et al.
Published: (2026)
VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation
by: He, Xuan, et al.
Published: (2024)
by: He, Xuan, et al.
Published: (2024)
AlcheMinT: Fine-grained Temporal Control for Multi-Reference Consistent Video Generation
by: Girish, Sharath, et al.
Published: (2025)
by: Girish, Sharath, et al.
Published: (2025)
Identity-Aware U-Net: Fine-grained Cell Segmentation via Identity-Aware Representation Learning
by: Xiao, Rui
Published: (2026)
by: Xiao, Rui
Published: (2026)
ColoDiff: Integrating Dynamic Consistency With Content Awareness for Colonoscopy Video Generation
by: Fu, Junhu, et al.
Published: (2026)
by: Fu, Junhu, et al.
Published: (2026)
UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement Learning
by: Bai, Sule, et al.
Published: (2025)
by: Bai, Sule, et al.
Published: (2025)
Taming Hallucinations: Boosting MLLMs' Video Understanding via Counterfactual Video Generation
by: Huang, Zhe, et al.
Published: (2025)
by: Huang, Zhe, et al.
Published: (2025)
TEXTS-Diff: TEXTS-Aware Diffusion Model for Real-World Text Image Super-Resolution
by: He, Haodong, et al.
Published: (2026)
by: He, Haodong, et al.
Published: (2026)
Video-STAR: Reinforcing Open-Vocabulary Action Recognition with Tools
by: Yuan, Zhenlong, et al.
Published: (2025)
by: Yuan, Zhenlong, et al.
Published: (2025)
Urban Socio-Semantic Segmentation with Vision-Language Reasoning
by: Wang, Yu, et al.
Published: (2026)
by: Wang, Yu, et al.
Published: (2026)
Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models
by: Wang, Haibo, et al.
Published: (2024)
by: Wang, Haibo, et al.
Published: (2024)
Fine-R1: Make Multi-modal LLMs Excel in Fine-Grained Visual Recognition by Chain-of-Thought Reasoning
by: He, Hulingxiao, et al.
Published: (2026)
by: He, Hulingxiao, et al.
Published: (2026)
DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning
by: Gao, Yifeng, et al.
Published: (2025)
by: Gao, Yifeng, et al.
Published: (2025)
ETVA: Evaluation of Text-to-Video Alignment via Fine-grained Question Generation and Answering
by: Guan, Kaisi, et al.
Published: (2025)
by: Guan, Kaisi, et al.
Published: (2025)
AutoDrive-R$^2$: Incentivizing Reasoning and Self-Reflection Capacity for VLA Model in Autonomous Driving
by: Yuan, Zhenlong, et al.
Published: (2025)
by: Yuan, Zhenlong, et al.
Published: (2025)
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking
by: Li, Xuchen, et al.
Published: (2024)
by: Li, Xuchen, et al.
Published: (2024)
FINER: MLLMs Hallucinate under Fine-grained Negative Queries
by: Xiao, Rui, et al.
Published: (2026)
by: Xiao, Rui, et al.
Published: (2026)
Reasoning-Aware Multimodal Fusion for Hateful Video Detection
by: Yang, Shuonan, et al.
Published: (2025)
by: Yang, Shuonan, et al.
Published: (2025)
FLAIR: VLM with Fine-grained Language-informed Image Representations
by: Xiao, Rui, et al.
Published: (2024)
by: Xiao, Rui, et al.
Published: (2024)
Prompting Video-Language Foundation Models with Domain-specific Fine-grained Heuristics for Video Question Answering
by: Yu, Ting, et al.
Published: (2024)
by: Yu, Ting, et al.
Published: (2024)
MedScope: Incentivizing "Think with Videos" for Clinical Reasoning via Coarse-to-Fine Tool Calling
by: Li, Wenjie, et al.
Published: (2026)
by: Li, Wenjie, et al.
Published: (2026)
FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance
by: Shao, Dian, et al.
Published: (2025)
by: Shao, Dian, et al.
Published: (2025)
FORGE: Fine-grained Multimodal Evaluation for Manufacturing Scenarios
by: Jian, Xiangru, et al.
Published: (2026)
by: Jian, Xiangru, et al.
Published: (2026)
Next Token Is Enough: Realistic Image Quality and Aesthetic Scoring with Multimodal Large Language Model
by: Li, Mingxing, et al.
Published: (2025)
by: Li, Mingxing, et al.
Published: (2025)
FADE: Frequency-Aware Diffusion Model Factorization for Video Editing
by: Zhu, Yixuan, et al.
Published: (2025)
by: Zhu, Yixuan, et al.
Published: (2025)
SARE: Sample-wise Adaptive Reasoning for Training-free Fine-grained Visual Recognition
by: Yang, Jingxiao, et al.
Published: (2026)
by: Yang, Jingxiao, et al.
Published: (2026)
VideoZoomer: Reinforcement-Learned Temporal Focusing for Long Video Reasoning
by: Ding, Yang, et al.
Published: (2025)
by: Ding, Yang, et al.
Published: (2025)
AEGIS: Authenticity Evaluation Benchmark for AI-Generated Video Sequences
by: Li, Jieyu, et al.
Published: (2025)
by: Li, Jieyu, et al.
Published: (2025)
Adaptive Self-training Framework for Fine-grained Scene Graph Generation
by: Kim, Kibum, et al.
Published: (2024)
by: Kim, Kibum, et al.
Published: (2024)
F$^3$Set: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos
by: Liu, Zhaoyu, et al.
Published: (2025)
by: Liu, Zhaoyu, et al.
Published: (2025)
VisuRiddles: Fine-grained Perception is a Primary Bottleneck for Multimodal Large Language Models in Abstract Visual Reasoning
by: Yan, Hao, et al.
Published: (2025)
by: Yan, Hao, et al.
Published: (2025)
Temporal Aware Pruning for Efficient Diffusion-based Video Generation
by: Li, Sheng, et al.
Published: (2026)
by: Li, Sheng, et al.
Published: (2026)
Warfare:Breaking the Watermark Protection of AI-Generated Content
by: Li, Guanlin, et al.
Published: (2023)
by: Li, Guanlin, et al.
Published: (2023)
Motion-Aware Caching for Efficient Autoregressive Video Generation
by: Xu, Jing, et al.
Published: (2026)
by: Xu, Jing, et al.
Published: (2026)
CrashSight: A Phase-Aware, Infrastructure-Centric Video Benchmark for Traffic Crash Scene Understanding and Reasoning
by: Gan, Rui, et al.
Published: (2026)
by: Gan, Rui, et al.
Published: (2026)
Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation
by: Chen, Harold Haodong, et al.
Published: (2025)
by: Chen, Harold Haodong, et al.
Published: (2025)
Robust-R1: Degradation-Aware Reasoning for Robust Visual Understanding
by: Tang, Jiaqi, et al.
Published: (2025)
by: Tang, Jiaqi, et al.
Published: (2025)
Similar Items
-
Video-CoE: Reinforcing Video Event Prediction via Chain of Events
by: Su, Qile, et al.
Published: (2026) -
Koala-36M: A Large-scale Video Dataset Improving Consistency between Fine-grained Conditions and Video Content
by: Wang, Qiuheng, et al.
Published: (2024) -
AIGCBench: Comprehensive Evaluation of Image-to-Video Content Generated by AI
by: Fan, Fanda, et al.
Published: (2024) -
Artifact-Aware Evaluation for High-Quality Video Generation
by: Zhu, Chen, et al.
Published: (2026) -
VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation
by: He, Xuan, et al.
Published: (2024)