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Found 12 papers, 8 papers with code
Diverse Image Harmonization
The existing harmonization methods can only produce one deterministic result for a composite image, ignoring that a composite image could have multiple plausible harmonization results due to multiple plausible reflectances.
Painterly Image Harmonization by Learning from Painterly Objects
In particular, we learn a mapping from background style and object information to object style based on painterly objects in artistic paintings.
Progressive Painterly Image Harmonization from Low-level Styles to High-level Styles
Painterly image harmonization aims to harmonize a photographic foreground object on the painterly background.
Painterly Image Harmonization via Adversarial Residual Learning
In this work, we employ adversarial learning to bridge the domain gap between foreground feature map and background feature map.
Painterly Image Harmonization using Diffusion Model
Painterly image harmonization aims to insert photographic objects into paintings and obtain artistically coherent composite images.
Deep Image Harmonization with Learnable Augmentation
In particular, our designed SYthetic COmposite Network (SycoNet) takes in a real image with foreground mask and a random vector to learn suitable color transformation, which is applied to the foreground of this real image to produce a synthetic composite image.
Deep Image Harmonization with Globally Guided Feature Transformation and Relation Distillation
Given a composite image, image harmonization aims to adjust the foreground illumination to be consistent with background.
Shadow Generation with Decomposed Mask Prediction and Attentive Shadow Filling
Specifically, in the first stage, we decompose shadow mask prediction into box prediction and shape prediction.
Painterly Image Harmonization in Dual Domains
In this work, we propose a novel painterly harmonization network consisting of a dual-domain generator and a dual-domain discriminator, which harmonizes the composite image in both spatial domain and frequency domain.
Deep Image Harmonization by Bridging the Reality Gap
Image harmonization has been significantly advanced with large-scale harmonization dataset.
Curvature formula for direct images of twisted relative canonical bundles endowed with a singular metric
In this note, we obtain various formulas for the curvature of the $L^2$ metric on the direct image of the relative canonical bundle twisted by a holomorphic line bundle endowed with a positively curved metric with analytic singularities, generalizing some of Berndtsson's seminal results in the smooth case.
Complex Variables Algebraic Geometry
Infinitesimal extension of pluricanonical forms
The current paper represents the first part: it contains the results concerning the lifting of twisted canonical sections defined on an infinitesimal neighborhood of the central fiber of a smooth, proper K\"ahler family which verify a natural L2 condition.
Algebraic Geometry Complex Variables
