BCMI's repositories
Awesome-Image-Composition
A curated list of papers, code and resources pertaining to image composition/compositing or object insertion/addition/compositing, 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-Object-Insertion
A curated list of papers, code and resources pertaining to image composition/compositing or object insertion/addition/compositing, which aims to generate realistic composite image.
Awesome-Image-Harmonization
A curated list of papers, code and resources pertaining to image harmonization.
Light-A-Video
[ICCV 2025] Light-A-Video: Training-free Video Relighting via Progressive Light Fusion
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.
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.
Awesome-Generative-Image-Composition
A curated list of papers, code, and resources pertaining to generative image composition or object insertion.
Awesome-Object-Placement
A curated list of papers, code, and resources pertaining to object placement.
GracoNet-Object-Placement
[ECCV 2022] Official code for "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.
BargainNet-Image-Harmonization
BargainNet: Background-Guided Domain Translation for Image Harmonization. Useful for Image harmonization, image composition, etc.
Video-Harmonization-Dataset-HYouTube
[IJCAI 2022] The first public benchmark dataset for video harmonization. The code used in our paper "Deep Video Harmonization with Color Mapping Consistency", IJCAI 2022.
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
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
ArtoPIH-Painterly-Image-Harmonization
[AAAI2024] Painterly Image Harmonization by Learning from Painterly Objects
ProPIH-Painterly-Image-Harmonization
[AAAI2024] Progressive Painterly Image Harmonization from Low-level Styles to High-level Styles
TopNet-Object-Placement
An unofficial implementation of the paper "TopNet: Transformer-based Object Placement Network for Image Compositing", CVPR 2023.
Foreground-Object-Search-Dataset-FOSD
[ICCV 2023] The datasets and code used in our paper "Foreground Object Search by Distilling Composite Image Feature", ICCV2023.
Rendered-Shadow-Generation-Dataset-RdSOBA
[AAAI 2024] The dataset used in our paper "Shadow Generation with Decomposed Mask Prediction and Attentive Shadow Filling", AAAI 2024.
DreamCom-Image-Composition
A simple baseline for image composition using text-guided inpainting model
Image-Harmonization-Dataset-ccHarmony
[ICCV 2023] The color checker based harmonization dataset contributed in our paper "Deep Image Harmonization with Globally Guided Feature Transformation and Relation Distillation", ICCV2023.
Rendered-Image-Harmonization-Dataset-RdHarmony
The first rendered image harmonization dataset. Used in our paper "CharmNet: Deep Image Harmonization by Bridging the Reality Gap". Useful for Image harmonization, image composition, etc.