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20212024
most citedHigh-Resolution Image Harmonization via Collaborative Dual Transformations

7 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

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…

cs.CV2024★ 1 cited

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…

cs.CV2023

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…

cs.CV2023

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…

cs.CV2021★ 7 cited

High-Resolution Image Harmonization via Collaborative Dual Transformations

Wenyan Cong, Xinhao Tao, Li Niu +4

Given a composite image, image harmonization aims to adjust the foreground to make it compatible with the background. High-resolution image harmonization is in high demand, but sti…