Realistic 3D human generation from text prompts is a desirable yet challenging task.
Existing methods optimize 3D representations like mesh or neural fields via score distillation …

Whole-body pose estimation localizes the human body, hand, face, and foot keypoints in an
image. This task is challenging due to multi-scale body parts, fine-grained localization for …

Recent advances in text-to-image generation have made remarkable progress in
synthesizing realistic human photos conditioned on given text prompts. However existing …

To enhance the controllability of text-to-image diffusion models, existing efforts like
ControlNet incorporated image-based conditional controls. In this paper, we reveal that …

We present DreamWaltz, a novel framework for generating and animating complex 3D
avatars given text guidance and parametric human body prior. While recent methods have …

Despite recent research advancements in reconstructing clothed humans from a single
image, accurately restoring the “unseen regions” with high-level details remains an …

Human motion prediction is a classical problem in computer vision and computer graphics,
which has a wide range of practical applications. Previous effects achieve great empirical …

Appearance and pose-guided human generation is a burgeoning field that has captured
significant attention. This subject's primary objective is to transfer pose information from a …

Diffusion-based technologies have made significant strides, particularly in personalized and
customized facialgeneration. However, existing methods face challenges in achieving high …

Recent text-to-image generation methods such as ControlNet have achieved remarkable
success in controlling image layouts, where the generated images by the default model are …