38 citations · 54 across the 12 of their papers we have counts for
12 papers · 1 filter
CareCom: Generative Image Composition with Calibrated Reference Features
Jiaxuan Chen, Bo Zhang, Qingdong He +2
Image composition aims to seamlessly insert foreground object into background. Despite the huge progress in generative image composition, the existing methods are still struggling…
Object Placement for Anything
Bingjie Gao, Bo Zhang, Li Niu
Object placement aims to determine the appropriate placement (\emph{e.g.}, location and size) of a foreground object when placing it on the background image. Most previous works ar…
MureObjectStitch: Multi-reference Image Composition
Jiaxuan Chen, Bo Zhang, Qingdong He +2
Generative image composition aims to regenerate the given foreground object in the background image to produce a realistic composite image. The existing methods are struggling to p…
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…
ControlCom: Controllable Image Composition using Diffusion Model
Bo Zhang, Yuxuan Duan, Jun Lan +4
Image composition targets at synthesizing a realistic composite image from a pair of foreground and background images. Recently, generative composition methods are built on large p…
Foreground Object Search by Distilling Composite Image Feature
Bo Zhang, Jiacheng Sui, Li Niu
Foreground object search (FOS) aims to find compatible foreground objects for a given background image, producing realistic composite image. We observe that competitive retrieval p…
Human-centric Image Cropping with Partition-aware and Content-preserving Features
Bo Zhang, Li Niu, Xing Zhao +1
Image cropping aims to find visually appealing crops in an image, which is an important yet challenging task. In this paper, we consider a specific and practical application: human…
Spatial Transformation for Image Composition via Correspondence Learning
Bo Zhang, Yue Liu, Kaixin Lu +2
When using cut-and-paste to acquire a composite image, the geometry inconsistency between foreground and background may severely harm its fidelity. To address the geometry inconsis…
Making Images Real Again: A Comprehensive Survey on Deep Image Composition
Li Niu, Wenyan Cong, Liu Liu +4
As a common image editing operation, image composition/compositing, which is also called object/subject insertion/addition/compositing, aims to combine the foreground from one imag…
Image Composition Assessment with Saliency-augmented Multi-pattern Pooling
Bo Zhang, Li Niu, Liqing Zhang
Image composition assessment is crucial in aesthetic assessment, which aims to assess the overall composition quality of a given image. However, to the best of our knowledge, there…