The recent wave of AI-generated content (AIGC) has witnessed substantial success in
computer vision, with the diffusion model playing a crucial role in this achievement. Due to …

Diffusion-based methods have shown impressive visual results in the text-to-image domain.
They first learn a latent space using an autoencoder, then run a denoising process on the …

Recent advancements in personalized image generation using diffusion models have been
noteworthy. However existing methods suffer from inefficiencies due to the requirement for …

We present MedShapeNet, a large collection of anatomical shapes (eg, bones, organs,
vessels) and 3D surgical instrument models. Prior to the deep learning era, the broad …

Laughter is a unique expression, essential to affirmative social interactions of humans.
Although current 3D talking head generation methods produce convincing verbal …

Talking face generation has gained immense popularity in the computer vision community,
with various applications including AR/VR, teleconferencing, digital assistants, and avatars …

In this study, our goal is to create interactive avatar agents that can autonomously plan and
animate nuanced facial movements realistically, from both visual and behavioral …

With the recent advancement in large language models (LLMs), there is a growing interest in
combining LLMs with multimodal learning. Previous surveys of multimodal large language …

With impressive achievements made, artificial intelligence is on the path forward to artificial
general intelligence. Sora, developed by OpenAI, which is capable of minute-level world …

When working with 3D facial data improving fidelity and avoiding the uncanny valley effect is
critically dependent on accurate 3D facial performance capture. Because such methods are …