Despite tremendous progress in generating high-quality images using diffusion models,
synthesizing a sequence of animated frames that are both photorealistic and temporally …

Driven by the scalable diffusion models trained on large-scale datasets text-to-image
synthesis methods have shown compelling results. However these models still fail to …

Recent approaches such as ControlNet offer users fine-grained spatial control over text-to-
image (T2I) diffusion models. However auxiliary modules have to be trained for each spatial …

Recent advancements in personalized image generation using diffusion models have been
noteworthy. However existing methods suffer from inefficiencies due to the requirement for …

Recent advancements in text-to-image generative models have demonstrated a remarkable
ability to capture a deep semantic understanding of images. In this work, we leverage this …

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 …

We introduce Text2Cinemagraph, a fully automated method for creating cinemagraphs from
text descriptions---an especially challenging task when prompts feature imaginary elements …

We propose a method to control material attributes of objects like roughness metallic albedo
and transparency in real images. Our method capitalizes on the generative prior of text-to …

Recent advances in text-to-image generation models have unlocked vast potential for visual
creativity. However, the users that use these models struggle with the generation of …

Recently we have witnessed the explosive growth of various volumetric representations in
modeling animatable head avatars. However due to the diversity of frameworks there is no …