Kai J Kohlhoff — accepted AI-conference papers

2024

Rich Human Feedback for Text-to-Image Generation

Youwei Liang, Junfeng He, Gang Li, Peizhao Li, Arseniy Klimovskiy, Nicholas Carolan +12

CVPR 2024poster

Recent Text-to-Image (T2I) generation models such as Stable Diffusion and Imagen have made significant progress in generating high-resolution images based on text descriptions. However many generated images still suffer from issues such as artifacts/implausibility misalignment with text descriptions…

Cited by 95 Source ↗PDF ↗code ↗Scholar ↗

2024

UniAR: A Unified model for predicting human Attention and Responses on visual content

Peizhao Li, Junfeng He, Gang Li, Rachit Bhargava, Shaolei Shen, NACHIAPPAN VALLIAPPAN +7

NeurIPS 2024poster

Progress in human behavior modeling involves understanding both implicit, early-stage perceptual behavior, such as human attention, and explicit, later-stage behavior, such as subjective preferences or likes. Yet most prior research has focused on modeling implicit and explicit human behavior in iso…

Cited by 2 Source ↗PDF ↗Scholar ↗