Denoising diffusion models have emerged as a powerful tool for various image generation
and editing tasks, facilitating the synthesis of visual content in an unconditional or input …

As one of the most popular and sought-after generative models in the recent years, diffusion
models have sparked the interests of many researchers and steadily shown excellent …

With the remarkable advent of text-to-image diffusion models image editing methods have
become more diverse and continue to evolve. A promising recent approach in this realm is …

Abstract We present Score-Guided Human Mesh Recovery (ScoreHMR) an approach for
solving inverse problems for 3D human pose and shape reconstruction. These inverse …

Recent advances in diffusion models have successfully enabled text-guided image
inpainting. While it seems straightforward to extend such editing capability into the video …

Generating instructional images of human daily actions from an egocentric viewpoint serves
as a key step towards efficient skill transfer. In this paper, we introduce a novel problem …

Current image editing methods primarily utilize DDIM Inversion, employing a two-branch
diffusion approach to preserve the attributes and layout of the original image. However …

Diffusion models have achieved remarkable success in the domain of text-guided image
generation and, more recently, in text-guided image editing. A commonly adopted strategy …

While diffusion models have significantly advanced the quality of image generation, their
capability to accurately and coherently render text within these images remains a substantial …

The perception of 3D motion of surrounding traffic participants is crucial for driving safety.
While existing works primarily focus on general large motions we contend that the …