BCMI
BCMI
Awesome-Weak-Shot-Learning
A curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.
Image-Harmonization-Dataset-iHarmony4
[CVPR 2020] The first large-scale public benchmark dataset for image harmonization. The code used in our paper "DoveNet: Deep Image Harmonization via Domain Verification", CVPR2020. Useful for image h...
Awesome-Image-Composition
A curated list of papers, code and resources pertaining to image composition/compositing or object insertion, which aims to generate realistic composite image.
Awesome-Image-Harmonization
A curated list of papers, code and resources pertaining to image harmonization.
CaGNet-Zero-Shot-Semantic-Segmentation
Code for our ACMMM2020 paper "Context-aware Feature Generation for Zero-shot Semantic Segmentation".
Awesome-Few-Shot-Image-Generation
A curated list of papers, code and resources pertaining to few-shot image generation.
F2GAN-Few-Shot-Image-Generation
Fusing-and-Filling GAN (F2GAN) for few-shot image generation, ACM MM2020
SLBR-Visible-Watermark-Removal
[ACM MM 2021] Visible Watermark Removal via Self-calibrated Localization and Background Refinement
CDTNet-High-Resolution-Image-Harmonization
[CVPR 2022] We unify pixel-to-pixel transformation and color-to-color transformation in a coherent framework for high-resolution image harmonization. We also release 100 high-resolution real composit...
Object-Shadow-Generation-Dataset-DESOBA
[AAAI 2022] The first dataset on foreground object shadow generation for image composition in real-world scenes. The code used in our paper "Shadow Generation for Composite Image in Real-world Scenes"...