This paper for the first time explores text-to-image diffusion models for Zero-Shot Sketch-
based Image Retrieval (ZS-SBIR). We highlight a pivotal discovery: the capacity of text-to …

This paper unravels the potential of sketches for diffusion models addressing the deceptive
promise of direct sketch control in generative AI. We importantly democratise the process …

In the rapidly advancing realm of visual generation, diffusion models have revolutionized the
landscape, marking a significant shift in capabilities with their impressive text-guided …

3D textured face reconstruction from sketches applicable in many scenarios such as
animation, 3D avatars, artistic design, missing people search, etc., is a highly promising but …

Recent advancements in generative models have significantly impacted content creation,
leading to the emergence of Personalized Content Synthesis (PCS). With a small set of user …

Audio-driven talking face generation is a challenging task in digital communication. Despite
significant progress in the area, most existing methods concentrate on audio-lip …