The combination of deep learning, artist-curated scans, and Implicit Functions (IF), is
enabling the creation of detailed, clothed, 3D humans from images. However, existing …

We present DreamAvatar a text-and-shape guided framework for generating high-quality 3D
human avatars with controllable poses. While encouraging results have been reported by …

In this study, we introduce a methodology for human image animation by leveraging a 3D
human parametric model within a latent diffusion framework to enhance shape alignment …

Efficient generation of 3D digital humans is important in several industries including virtual
reality social media and cinematic production. 3D generative adversarial networks (GANs) …

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 …

We present PrimDiffusion, the first diffusion-based framework for 3D human generation.
Devising diffusion models for 3D human generation is difficult due to the intensive …

Reconstructing 3D clothed human avatars from single images is a challenging task,
especially when encountering complex poses and loose clothing. Current methods exhibit …

We present SCULPT a novel 3D generative model for clothed and textured 3D meshes of
humans. Specifically we devise a deep neural network that learns to represent the geometry …

AI-generated content (AIGC) methods aim to produce text, images, videos, 3D assets, and
other media using AI algorithms. Due to its wide range of applications and the demonstrated …

In this era the success of large language models and text-to-image models can be attributed
to the driving force of large-scale datasets. However in the realm of 3D vision while …