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 …

This work aims to learn a high-quality text-to-video (T2V) generative model by leveraging a
pre-trained text-to-image (T2I) model as a basis. It is a highly desirable yet challenging task …

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

We present GauHuman a 3D human model with Gaussian Splatting for both fast training (1 2
minutes) and real-time rendering (up to 189 FPS) compared with existing NeRF-based …

Though diffusion-based video generation has witnessed rapid progress, the inference
results of existing models still exhibit unsatisfactory temporal consistency and unnatural …

Text-driven video generation witnesses rapid progress. However merely using text prompts
is not enough to depict the desired subject appearance that accurately aligns with users' …

Generating high-fidelity human video with specified identities has attracted significant
attention in the content generation community. However, existing techniques struggle to …

Generative AI has made significant strides in computer vision particularly in text-driven
image/video synthesis (T2I/T2V). Despite the notable advancements it remains challenging …

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 …

Modern generative models exhibit unprecedented capabilities to generate extremely
realistic data. However, given the inherent compositionality of real world, reliable use of …