As information exists in various modalities in real world, effective interaction and fusion
among multimodal information plays a key role for the creation and perception of multimodal …

3D avatar creation plays a crucial role in the digital age. However, the whole production
process is prohibitively time-consuming and labor-intensive. To democratize this technology …

Diffusion models arise as a powerful generative tool recently. Despite the great progress,
existing diffusion models mainly focus on uni-modal control, ie, the diffusion process is …

Video generation has witnessed significant advancements yet evaluating these models
remains a challenge. A comprehensive evaluation benchmark for video generation is …

Existing face forgery detectors mainly focus on specific forgery patterns like noise
characteristics, local textures, or frequency statistics for forgery detection. This causes …

Generating high-quality and diverse human images is an important yet challenging task in
vision and graphics. However, existing generative models often fall short under the high …

Unconditional human image generation is an important task in vision and graphics, enabling
various applications in the creative industry. Existing studies in this field mainly focus on …

Recommender systems typically retrieve items from an item corpus for personalized
recommendations. However, such a retrieval-based recommender paradigm faces two …

Large-scale datasets have played indispensable roles in the recent success of face
generation/editing and significantly facilitated the advances of emerging research fields …

Abstract Diffusion Models (DMs) are state-of-the-art generative models that learn a
reversible corruption process from iterative noise addition and denoising. They are the …