Denoising diffusion models have emerged as a powerful tool for various image generation
and editing tasks, facilitating the synthesis of visual content in an unconditional or input …

The rapid advancement of large language models (LLMs) and multimodal learning has
transformed digital content creation and manipulation. Traditional visual editing tools require …

Video-driven neural face reenactment aims to synthesize realistic facial images that
successfully preserve the identity and appearance of a source face, while transferring the …

We propose the first unsupervised and learning-based method to identify interpretable
directions in h-space of pre-trained diffusion models. Our method is derived from an existing …

2D portrait animation has experienced significant advancements in recent years. Much
research has utilized the prior knowledge embedded in large generative diffusion models to …

We propose GauFace, a novel Gaussian Splatting representation, tailored for efficient
animation and rendering of physically-based facial assets. Leveraging strong geometric …

Current text-to-image editing models often encounter challenges with smoothly manipulating
multiple attributes using a single instruction. Taking inspiration from the Chain-of-Thought …

ost recent popular Role-Playing Games (RPGs) allow players to create in-game characters
with hundreds of adjustable parameters, including bone positions and various makeup …

In computer vision, a key goal is to obtain visual representations that faithfully capture the
underlying structure and semantics of the data, encompassing object identities, positions …