Text-guided image editing can have a transformative impact in supporting creative
applications. A key challenge is to generate edits that are faithful to the input text prompt …

Music recommendation for videos attracts growing interest in multi-modal research.
However existing systems focus primarily on content compatibility often ignoring the users' …

Consistent editing of real images is a challenging task, as it requires performing non-rigid
edits (eg, changing postures) to the main objects in the input image without changing their …

Edit fidelity is a significant issue in open-world controllable generative image editing.
Recently, CLIP-based approaches have traded off simplicity to alleviate these problems by …

Cross-modal noise-robust learning is a challenging task since noisy correspondence is hard
to recognize and rectify. Due to the cumulative and unavoidable negative impact of …

Generating and editing a 3D scene guided by natural language poses a challenge, primarily
due to the complexity of specifying the positional relations and volumetric changes within the …

In this paper, we study the text-guided image generation task. Our focus lies in the
modification of a reference image, given user text feedback, to imbue it with specific desired …

This paper explores interactive facial image editing via dialogue and introduces the ChatEdit
benchmark dataset for evaluating image editing and conversation abilities in this context …

People capture photos and videos to relive and share memories of personal significance.
Recently, media montages (stories) have become a popular mode of sharing these …

Color restoration of ancient Chinese paintings plays a significant role in Chinese culture
protection and inheritance. However, traditional color restoration is challenging and time …