"generative model evaluation" Papers

14 papers found

A Unifying Information-theoretic Perspective on Evaluating Generative Models

Alexis Fox, Samarth Swarup, Abhijin Adiga

AAAI 2025paperarXiv:2412.14340

ChatGen: Automatic Text-to-Image Generation From FreeStyle Chatting

Chengyou Jia, Changliang Xia, Zhuohang Dang et al.

CVPR 2025arXiv:2411.17176
7
citations

Dual Data Alignment Makes AI-Generated Image Detector Easier Generalizable

Ruoxin Chen, Junwei Xi, Zhiyuan Yan et al.

NEURIPS 2025spotlightarXiv:2505.14359
18
citations

Improving Text-to-Image Consistency via Automatic Prompt Optimization

Melissa Hall, Michal Drozdzal, Oscar Mañas et al.

ICLR 2025arXiv:2403.17804
71
citations

Trade-offs in Image Generation: How Do Different Dimensions Interact?

Sicheng Zhang, Binzhu Xie, Zhonghao Yan et al.

ICCV 2025arXiv:2507.22100
2
citations

What's Producible May Not Be Reachable: Measuring the Steerability of Generative Models

Keyon Vafa, Sarah Bentley, Jon Kleinberg et al.

NEURIPS 2025arXiv:2503.17482
2
citations

An Interpretable Evaluation of Entropy-based Novelty of Generative Models

Jingwei Zhang, Cheuk Ting Li, Farzan Farnia

ICML 2024arXiv:2402.17287
16
citations

Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability

Jaehui Hwang, Junghyuk Lee, Jong-Seok Lee

CVPR 2024arXiv:2312.10634
4
citations

Attribute Based Interpretable Evaluation Metrics for Generative Models

Dongkyun Kim, Mingi Kwon, Youngjung Uh

ICML 2024arXiv:2310.17261
3
citations

Efficient Precision and Recall Metrics for Assessing Generative Models using Hubness-aware Sampling

Yuanbang Liang, Jing Wu, Yu-Kun Lai et al.

ICML 2024spotlight

Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs

Daniel D. Johnson, Daniel Tarlow, David Duvenaud et al.

ICML 2024arXiv:2402.08733
16
citations

Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models

Som Sagar, Aditya Taparia, Ransalu Senanayake

ICML 2024spotlightarXiv:2406.07145
11
citations

Stable Preference: Redefining training paradigm of human preference model for Text-to-Image Synthesis

Hanting Li, Hongjing Niu, Feng Zhao

ECCV 2024
2
citations

VBench: Comprehensive Benchmark Suite for Video Generative Models

Ziqi Huang, Yinan He, Jiashuo Yu et al.

CVPR 2024highlightarXiv:2311.17982
1072
citations