1 citations · 1 across the 5 of their papers we have counts for
5 papers
OSInsert: Towards High-authenticity and High-fidelity Image Composition
Jingyuan Wang, Li Niu
Generative image composition aims to regenerate the given foreground object in the background image to produce a realistic composite image. Some high-authenticity methods can adjus…
DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning
Yuxuan Duan, Yan Hong, Bo Zhang +6
The recent progress in text-to-image models pretrained on large-scale datasets has enabled us to generate various images as long as we provide a text prompt describing what we want…
Shadow Generation for Composite Image Using Diffusion model
Qingyang Liu, Junqi You, Jianting Wang +3
In the realm of image composition, generating realistic shadow for the inserted foreground remains a formidable challenge. Previous works have developed image-to-image translation…
Virtual Accessory Try-On via Keypoint Hallucination
Junhong Gou, Bo Zhang, Li Niu +4
The virtual try-on task refers to fitting the clothes from one image onto another portrait image. In this paper, we focus on virtual accessory try-on, which fits accessory (e.g., g…
DreamCom: Finetuning Text-guided Inpainting Model for Image Composition
Lingxiao Lu, Jiangtong Li, Bo Zhang +1
The goal of image composition is merging a foreground object into a background image to obtain a realistic composite image. Recently, generative composition methods are built on la…