3 papers
cs.LG2026
Generation Properties of Stochastic Interpolation under Finite Training Set
Yunchen Li, Shaohui Lin, Zhou Yu
This paper investigates the theoretical behavior of generative models under finite training populations. Within the stochastic interpolation generative framework, we derive closed-…
cs.LG2026
A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models
Yunchen Li, Shaohui Lin, Zhou Yu
This paper provides a theoretical account of memorization in stochastic interpolation models. By leveraging closed-form expressions for the optimal velocity field and the associate…
cs.CV2026
DF-LLaVA: Unlocking MLLMs for Synthetic Image Detection via Knowledge Injection and Conflict-Driven Self-Reflection
Zhuokang Shen, Kaisen Zhang, Bohan Jia +4
With the increasing prevalence of synthetic images, evaluating image authenticity and locating forgeries accurately while maintaining human interpretability remains a challenging t…