Development of computer vision algorithms using convolutional neural networks and deep
learning has necessitated ever greater amounts of annotated and labelled data to produce …

The rapid progress of computer vision, machine learning, and artificial intelligence
combined with the current growing urge for online shopping systems opened an excellent …

Given a pair of images---target person and garment on another person---we automatically
generate the target person in the given garment. Previous methods mostly focused on …

Video-based human pose transfer is a video-to-video generation task that animates a plain
source human image based on a series of target human poses. Considering the difficulties …

Creating high-quality 3D models of clothed humans from single images for real-world
applications is crucial. Despite recent advancements accurately reconstructing humans in …

We present animatable neural radiance fields (animatable NeRF) for detailed human avatar
creation from monocular videos. Our approach extends neural radiance fields (NeRF) to the …

We present an approach to generate a 360-degree view of a person with a consistent, high-
resolution appearance from a single input image. NeRF and its variants typically require …

Abstract Generative Neural Radiance Field (GNeRF) models, which extract implicit 3D
representations from 2D images, have recently been shown to produce realistic images …

Text-to-video generation marks a significant frontier in the rapidly evolving domain of
generative AI, integrating advancements in text-to-image synthesis, video captioning, and …

Human pose transfer synthesizes new view (s) of a person for a given pose. Recent work
achieves this via self-reconstruction, which disentangles a person's pose and texture …