4 accepted papers
Video flow, depth, and panoptic segmentation are fundamental to diverse robotic perception and computer vision applications. Despite recent advances in specialized approaches, several inherent limitations remain challenging: first, training and inferencing three separate models is computationally co…
In text-to-image (T2I) generation, achieving fine-grained control over attributes - such as age or smile - remains challenging, even with detailed text prompts. Slider-based methods offer a solution for precise control of image attributes.Existing approaches typically train individual adapter for ea…
Diffusion models have shown tremendous results in image generation. However due to the iterative nature of the diffusion process and its reliance on classifier-free guidance inference times are slow. In this paper we propose a new distillation approach for guided diffusion models in which an externa…
Current face image retrieval solutions are limited, since they treat different facial attributes the same and cannot incorporate user's preference for a subset of attributes in their search criteria. This paper introduces a new face image retrieval framework, where the input face query is augmented…