The CVPR 2023 paper Self-Guided Diffusion Models by Vincent Tao Hu, David W Zhang, Yuki M Asano, Gertjan J Burghouts, and Cees Snoek is now available . Diffusion models have demonstrated remarkable progress in image generation quality, especially when guidance is used to control the generative process. However, guidance requires a large amount of image-annotation pairs for training and is thus dependent on their availability, correctness and unbiasedness. In this paper, we eliminate the need for such annota
The CVPR 2023 paper Test of Time: Instilling Video-Language Models with a Sense of Time by Piyush Bagad, Makarand Tapaswi, Cees Snoek is now available . Modeling and understanding time remains a challenge in contemporary video understanding models. With language emerging as a key driver towards powerful generalization, it is imperative for foundational video-language models to have a sense of time. In this paper, we consider a specific aspect of temporal understanding: consistency of time order as elicited
Yuki M. Asano