3 papers
cs.AI2026
A New Perspective on Precision and Recall for Generative Models
Benjamin Sykes, Loïc Simon, Julien Rabin +1
With the recent success of generative models in image and text, the question of their evaluation has recently gained a lot of attention. While most methods from the state of the ar…
cs.CV2025
NIFTY: a Non-Local Image Flow Matching for Texture Synthesis
Pierrick Chatillon, Julien Rabin, David Tschumperlé
This paper addresses the problem of exemplar-based texture synthesis. We introduce NIFTY, a hybrid framework that combines recent insights on diffusion models trained with convolut…
cs.LG2024
Unifying and extending Precision Recall metrics for assessing generative models
Benjamin Sykes, Loic Simon, Julien Rabin
With the recent success of generative models in image and text, the evaluation of generative models has gained a lot of attention. Whereas most generative models are compared in te…