Denoising Diffusion models have shown remarkable capabilities in generat...
We present multimodal conditioning modules (MCM) for enabling conditiona...
Large-scale text-to-image generative models have shown their remarkable
...
Structure-guided image completion aims to inpaint a local region of an i...
The vision community has explored numerous pose guided human editing met...
The task of human reposing involves generating a realistic image of a pe...
We introduce a new method for diverse foreground generation with explici...
Existing GAN inversion and editing methods work well for aligned objects...
Appearance of dressed humans undergoes a complex geometric transformatio...
Recent image inpainting methods have made great progress but often strug...
While GANs can produce photo-realistic images in ideal conditions for ce...
We propose a new approach for high resolution semantic image synthesis. ...
We present an algorithm for re-rendering a person from a single image un...
Training generative models, such as GANs, on a target domain containing
...
We introduce an inversion based method, denoted as IMAge-Guided model
IN...
We tackle the problem of semantic image layout manipulation, which aims ...
Few-shot image generation seeks to generate more data of a given domain,...
Due to the ubiquity of smartphones, it is popular to take photos of one'...
Deep generative models have become increasingly effective at producing
r...
The ability to generate complex and realistic human body animations at s...
Caricature, a type of exaggerated artistic portrait, amplifies the
disti...
In neural networks, it is often desirable to work with various
represent...
We present StyleBlit---an efficient example-based style transfer algorit...
The colorful appearance of a physical painting is determined by the
dist...
In this paper, we investigate deep image synthesis guided by sketch, col...
Recently, there have been several promising methods to generate realisti...