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 …

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' …

Diffusion models gain increasing popularity for their generative capabilities. Recently, there
have been surging needs to generate customized images by inverting diffusion models from …

Humans possess the remarkable skill of Visual Perception the ability to see and understand
the seen helping them make sense of the visual world and in turn reason. Multimodal Large …

Recently diffusion models have made remarkable progress in text-to-image (T2I) generation
synthesizing images with high fidelity and diverse contents. Despite this advancement latent …

In this paper we democratise caricature generation empowering individuals to effortlessly
craft personalised caricatures with just a photo and a conceptual sketch. Our objective is to …

Existing natural image matting algorithms inevitably have flaws in their predictions on
difficult cases, and their one-step prediction manner cannot further correct these errors. In …

The remarkable generative capabilities of diffusion models have motivated extensive
research in both image and video editing. Compared to video editing which faces additional …

The remarkable efficacy of text-to-image diffusion models has motivated extensive
exploration of their potential application in video domains. Zero-shot methods seek to extend …

Image and video synthesis has become a blooming topic in computer vision and machine
learning communities along with the developments of deep generative models, due to its …