BCMI's repositories
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.
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 harmonization, image composition, etc.
Awesome-Image-Harmonization
A curated list of papers, code and resources pertaining to image harmonization.
SLBR-Visible-Watermark-Removal
[ACM MM 2021] Visible Watermark Removal via Self-calibrated Localization and Background Refinement
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", AAAI2022. Useful for shadow generation, shadow removal, image composition, etc.
ControlCom-Image-Composition
A controllable image composition model which could be used for image blending, image harmonization, view synthesis.
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 composite images for evaluation.
Awesome-Object-Shadow-Generation
A curated list of papers, code, and resources pertaining to object shadow generation.
Object-Shadow-Generation-Dataset-DESOBAv2
[CVPR 2024] The dataset, code, and model for our paper "Shadow Generation for Composite Image Using Diffusion Model", CVPR, 2024.
GracoNet-Object-Placement
Official code for ECCV2022 paper: Learning Object Placement via Dual-path Graph Completion
Object-Placement-Assessment-Dataset-OPA
The first dataset of composite images with rationality score indicating whether the object placement in a composite image is reasonable.
Awesome-Object-Placement
A curated list of papers, code, and resources pertaining to object placement.
BargainNet-Image-Harmonization
BargainNet: Background-Guided Domain Translation for Image Harmonization. Useful for Image harmonization, image composition, etc.
Awesome-Generative-Image-Composition
A curated list of papers, code, and resources pertaining to generative image composition or object insertion.
PHDiffusion-Painterly-Image-Harmonization
[ACM MM 2023] The code used in our paper "Painterly Image Harmonization using Diffusion Model", ACM MM2023.
PHDNet-Painterly-Image-Harmonization
[AAAI 2023] Painterly image harmonization in both spatial domain and frequency domain.
DucoNet-Image-Harmonization
[ACM MM 23] Deep image harmonization in Dual Color Space
Awesome-Image-Blending
A curated list of papers, code and resources pertaining to image blending.
SycoNet-Adaptive-Image-Harmonization
[ICCV 2023] The code used in our paper "Deep Image Harmonization with Learnable Augmentation", ICCV2023.
FOPA-Fast-Object-Placement-Assessment
A discriminative object placement approach
ObjectStitch-Image-Composition
An unofficial implementation of the paper "ObjectStitch: Object Compositing with Diffusion Model", CVPR 2023.
SSP-AI-Generated-Image-Detection
The code for "A Single Simple Patch is All You Need for AI-generated Image Detection"
Foreground-Object-Search-Dataset-FOSD
[ICCV 2023] The datasets and code used in our paper "Foreground Object Search by Distilling Composite Image Feature", ICCV2023.
Accessory-Try-On-Dataset-STRAT
A virtual accessory try-on dataset which could be used for image composition
TopNet-Object-Placement
An unofficial implementation of the paper "TopNet: Transformer-based Object Placement Network for Image Compositing", CVPR 2023.
MadisNet-Inharmonious-Region-Localization
[AAAI 2022] MadisNet: Inharmonious Region Localization by Magnifying Domain Discrepancy
Awesome-Foreground-Object-Search
A curated list of papers, code, and resources pertaining to foreground object search.
DreamCom-Image-Composition
A simple baseline for image composition using text-guided inpainting model