Generating high-quality and diverse human images is an important yet challenging task in
vision and graphics. However, existing generative models often fall short under the high …

Unconditional human image generation is an important task in vision and graphics, enabling
various applications in the creative industry. Existing studies in this field mainly focus on …

We present GauHuman a 3D human model with Gaussian Splatting for both fast training (1 2
minutes) and real-time rendering (up to 189 FPS) compared with existing NeRF-based …

While progress in 2D generative models of human appearance has been rapid, many
applications require 3D avatars that can be animated and rendered. Unfortunately, most …

Image-based virtual try-on aims to fit an in-shop garment into a clothed person image. To
achieve this, a key step is garment warping which spatially aligns the target garment with the …

Text-driven content creation has evolved to be a transformative technique that revolutionizes
creativity. Here we study the task of text-driven human video generation, where a video …

To make 3D human avatars widely available, we must be able to generate a variety of 3D
virtual humans with varied identities and shapes in arbitrary poses. This task is challenging …

Recent years have witnessed the tremendous progress of 3D GANs for generating view-
consistent radiance fields with photo-realism. Yet, high-quality generation of human …

We deal with the controllable person image synthesis task which aims to re-render a human
from a reference image with explicit control over body pose and appearance. Observing that …

We study the problem of inferring scene affordances by presenting a method for realistically
inserting people into scenes. Given a scene image with a marked region and an image of a …