Attaining a high degree of user controllability in visual generation often requires intricate,
fine-grained inputs like layouts. However, such inputs impose a substantial burden on users …

Text-guided image editing is widely needed in daily life, ranging from personal use to
professional applications such as Photoshop. However, existing methods are either zero …

Large-scale diffusion models have achieved state-of-the-art results on text-to-image
synthesis (T2I) tasks. Despite their ability to generate high-quality yet creative images, we …

Recent VQA models may tend to rely on language bias as a shortcut and thus fail to
sufficiently learn the multi-modal knowledge from both vision and language. In this paper …

Facial editing is an important task in vision and graphics with numerous applications.
However, existing works are incapable to deliver a continuous and fine-grained editing …

Instruction-based image editing improves the controllability and flexibility of image
manipulation via natural commands without elaborate descriptions or regional masks …

Generating a video given the first several static frames is challenging as it anticipates
reasonable future frames with temporal coherence. Besides video prediction, the ability to …

Despite having promising results, style transfer, which requires preparing style images in
advance, may result in lack of creativity and accessibility. Following human instruction, on …

Facial editing is to manipulate the facial attributes of a given face image. Nowadays, with the
development of generative models, users can easily generate 2D and 3D facial images with …

Recent advances in text-guided image synthesis has dramatically changed how creative
professionals generate artistic and aesthetically pleasing visual assets. To fully support such …