research
∙
08/19/2023
ControlCom: Controllable Image Composition using Diffusion Model
Image composition targets at synthesizing a realistic composite image fr...
share
research
∙
05/11/2023
WeditGAN: Few-shot Image Generation via Latent Space Relocation
In few-shot image generation, directly training GAN models on just a han...
research
∙
03/04/2023
Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation
The performances of defect inspection have been severely hindered by ins...
research
∙
12/17/2022
Painterly Image Harmonization in Dual Domains
Image harmonization aims to produce visually harmonious composite images...
research
∙
11/14/2022
Marine Microalgae Detection in Microscopy Images: A New Dataset
Marine microalgae are widespread in the ocean and play a crucial role in...
research
∙
07/22/2022
Few-shot Image Generation Using Discrete Content Representation
Few-shot image generation and few-shot image translation are two related...
research
∙
06/28/2021
Making Images Real Again: A Comprehensive Survey on Deep Image Composition
As a common image editing operation, image composition aims to cut the f...
research
∙
04/21/2021
Shadow Generation for Composite Image in Real-world Scenes
Image composition targets at inserting a foreground object on a backgrou...
research
∙
09/18/2020
DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific Delta
Learning to generate new images for a novel category based on only a few...
research
∙
08/05/2020
F2GAN: Fusing-and-Filling GAN for Few-shot Image Generation
In order to generate images for a given category, existing deep generati...
research
∙
03/15/2020
Beyond without Forgetting: Multi-Task Learning for Classification with Disjoint Datasets
Multi-task Learning (MTL) for classification with disjoint datasets aims...
research
∙
03/07/2020
MatchingGAN: Matching-based Few-shot Image Generation
To generate new images for a given category, most deep generative models...
research
∙
11/28/2017
