2 citations · 2 across the 2 of their papers we have counts for
4 papers · 1 filter
CompSlider: Compositional Slider for Disentangled Multiple-Attribute Image Generation
Zixin Zhu, Kevin Duarte, Mamshad Nayeem Rizve +3
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 method…
Plug-and-Play Diffusion Distillation
Yi-Ting Hsiao, Siavash Khodadadeh, Kevin Duarte +4
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, infe…
A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization
Xingzhe He, Zhiwen Cao, Nicholas Kolkin +4
Large text-to-image models have revolutionized the ability to generate imagery using natural language. However, particularly unique or personal visual concepts, such as pets and fu…
Component Attention Guided Face Super-Resolution Network: CAGFace
Ratheesh Kalarot, Tao Li, Fatih Porikli
To make the best use of the underlying structure of faces, the collective information through face datasets and the intermediate estimates during the upsampling process, here we in…