Recent text-to-3D methods employing diffusion models have made significant
advancements in 3D human generation. However these approaches face challenges due to …

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

Gaussian splatting has emerged as a powerful 3D representation that harnesses the
advantages of both explicit (mesh) and implicit (NeRF) 3D representations. In this paper we …

Recent advances in 3D-aware GAN models have enabled the generation of realistic and
controllable human body images. However, existing methods focus on the control of major …

In this paper, we introduce a novel text-to-avatar generation method that separately
generates the human body and the clothes and allows high-quality animation on the …

Editable 3D-aware generation which supports user-interacted editing has witnessed rapid
development recently. However existing editable 3D GANs either fail to achieve high …

Image and video synthesis has become a blooming topic in computer vision and machine
learning communities along with the developments of deep generative models, due to its …

Abstract 3D human pose estimation and mesh recovery have attracted widespread research
interest in many areas, such as computer vision, autonomous driving, and robotics. Deep …

We study the problem of creating high-fidelity and animatable 3D avatars from only textual
descriptions. Existing text-to-avatar methods are either limited to static avatars which cannot …

Various models based on StyleGAN have gained significant traction in the field of image
synthesis, attributed to their robust training stability and superior performances. Within the …