In this paper we uncover the untapped potential of diffusion U-Net which serves as a" free
lunch" that substantially improves the generation quality on the fly. We initially investigate …

In this work, we present MotionBooth, an innovative framework designed for animating
customized subjects with precise control over both object and camera movements. By …

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

In the rapidly advancing realm of visual generation, diffusion models have revolutionized the
landscape, marking a significant shift in capabilities with their impressive text-guided …

Customized text-to-video generation aims to generate high-quality videos guided by text
prompts and subject references. Current approaches for personalizing text-to-video …

Customized video generation aims to generate high-quality videos guided by text prompts
and subject's reference images. However, since it is only trained on static images, the fine …

Sora unveils the potential of scaling Diffusion Transformer for generating photorealistic
images and videos at arbitrary resolutions, aspect ratios, and durations, yet it still lacks …

Recent advances in text-to-image models have enabled high-quality personalized image
synthesis based on user-provided concepts with flexible textual control. In this work, we …

Generating customized content in videos has received increasing attention recently.
However, existing works primarily focus on customized text-to-video generation for single …

Recent advancements in generative models have significantly impacted content creation,
leading to the emergence of Personalized Content Synthesis (PCS). With a small set of user …