As a common image editing operation, image composition aims to combine the foreground
from one image and another background image, resulting in a composite image. However …

Generating high-quality and diverse human images is an important yet challenging task in
vision and graphics. However, existing generative models often fall short under the high …

Garment sewing pattern represents the intrinsic rest shape of a garment, and is the core for
many applications like fashion design, virtual try-on, and digital avatars. In this work, we …

The goal of image harmonization is adjusting the foreground appearance in a composite
image to make the whole image harmonious. To construct paired training images, existing …

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 …

Large-scale pre-trained vision-language models allow for the zero-shot text-based
generation of 3D avatars. The previous state-of-the-art method utilized CLIP to supervise …

This paper studies the problem of language-guided reflection separation which aims at
addressing the ill-posed reflection separation problem by introducing language descriptions …

Image composition targets at inserting a foreground object into a background image. Most
previous image composition methods focus on adjusting the foreground to make it …

Object placement aims to place a foreground object over a background image with a
suitable location and size. In this work, we treat object placement as a graph completion …

In this paper, we introduce L-DiffER, a language-based diffusion model designed for the ill-
posed single image reflection removal task. Although having shown impressive performance …