2 papers
cs.CV2026
Evaluating Generative Models via One-Dimensional Code Distributions
Zexi Jia, Pengcheng Luo, Yijia Zhong +2
Most evaluations of generative models rely on feature-distribution metrics such as FID, which operate on continuous recognition features that are explicitly trained to be invariant…
cs.CV2026
Too Vivid to Be Real? Benchmarking and Calibrating Generative Color Fidelity
Zhengyao Fang, Zexi Jia, Yijia Zhong +5
Recent advances in text-to-image (T2I) generation have greatly improved visual quality, yet producing images that appear visually authentic to real-world photography remains challe…