The field of visual computing is rapidly advancing due to the emergence of generative
artificial intelligence (AI), which unlocks unprecedented capabilities for the generation …

Recent advances in personalized image generation have enabled pre-trained text-to-image
models to learn new concepts from specific image sets. However these methods often …

The development of text-to-video (T2V), ie, generating videos with a given text prompt, has
been significantly advanced in recent years. However, relying solely on text prompts often …

Recent advances in text-to-image generation have made remarkable progress in
synthesizing realistic human photos conditioned on given text prompts. However existing …

Recent progress in personalized image generation using diffusion models has been
significant. However, development in the area of open-domain and test-time fine-tuning-free …

Abstract Large-scale Text-to-Image (T2I) models have rapidly gained prominence across
creative fields generating visually compelling outputs from textual prompts. However …

Customized generation using diffusion models has made impressive progress in image
generation but remains unsatisfactory in the challenging video generation task as it requires …

Image data augmentation constitutes a critical methodology in modern computer vision
tasks, since it can facilitate towards enhancing the diversity and quality of training datasets; …

Recent advances in generative imagery have brought forth outpainting and inpainting
models that can produce high-quality, plausible image content in unknown regions …

Text-to-video diffusion models have advanced video generation significantly. However
customizing these models to generate videos with tailored motions presents a substantial …