19 citations · 28 across the 11 of their papers we have counts for
11 papers
NTIRE 2026 Challenge on Single Image Reflection Removal in the Wild: Datasets, Results, and Methods
Jie Cai, Kangning Yang, Zhiyuan Li +50
In this paper, we review the NTIRE 2026 challenge on single-image reflection removal (SIRR) in the wild. SIRR is a fundamental task in image restoration. Despite progress in academ…
Diverse Image Harmonization
Xinhao Tao, Tianyuan Qiu, Junyan Cao +1
Image harmonization aims to adjust the foreground illumination in a composite image to make it harmonious. The existing harmonization methods can only produce one deterministic res…
Progressive Painterly Image Harmonization from Low-level Styles to High-level Styles
Li Niu, Yan Hong, Junyan Cao +1
Painterly image harmonization aims to harmonize a photographic foreground object on the painterly background. Different from previous auto-encoder based harmonization networks, we…
Painterly Image Harmonization by Learning from Painterly Objects
Li Niu, Junyan Cao, Yan Hong +1
Given a composite image with photographic object and painterly background, painterly image harmonization targets at stylizing the composite object to be compatible with the backgro…
Painterly Image Harmonization via Adversarial Residual Learning
Xudong Wang, Li Niu, Junyan Cao +2
Image compositing plays a vital role in photo editing. After inserting a foreground object into another background image, the composite image may look unnatural and inharmonious. W…
Painterly Image Harmonization using Diffusion Model
Lingxiao Lu, Jiangtong Li, Junyan Cao +2
Painterly image harmonization aims to insert photographic objects into paintings and obtain artistically coherent composite images. Previous methods for this task mainly rely on in…
Deep Image Harmonization with Learnable Augmentation
Li Niu, Junyan Cao, Wenyan Cong +1
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 datase…
Deep Image Harmonization with Globally Guided Feature Transformation and Relation Distillation
Li Niu, Linfeng Tan, Xinhao Tao +4
Given a composite image, image harmonization aims to adjust the foreground illumination to be consistent with background. Previous methods have explored transforming foreground fea…
Shadow Generation with Decomposed Mask Prediction and Attentive Shadow Filling
Xinhao Tao, Junyan Cao, Yan Hong +1
Image composition refers to inserting a foreground object into a background image to obtain a composite image. In this work, we focus on generating plausible shadows for the insert…
Painterly Image Harmonization in Dual Domains
Junyan Cao, Yan Hong, Li Niu
Image harmonization aims to produce visually harmonious composite images by adjusting the foreground appearance to be compatible with the background. When the composite image has p…
Deep Image Harmonization by Bridging the Reality Gap
Junyan Cao, Wenyan Cong, Li Niu +2
Image harmonization has been significantly advanced with large-scale harmonization dataset. However, the current way to build dataset is still labor-intensive, which adversely affe…