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.

A microframework on top of PyTorch with first-class citizen APIs for foundation model adaptation

Image composition toolbox: everything you want to know about image composition or object insertion

[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.

[CVPR 2024] The dataset, code, and model for our paper "Shadow Generation for Composite Image Using Diffusion Model", CVPR, 2024.

A curated list of papers, code, and resources pertaining to object shadow generation.

A Survey and Benchmark on Image and Video Shadow Detection, Removal, and Generation in the Era of Deep Learning (Awesome & Benchmark)

[AAAI 2024] The dataset used in our paper "Shadow Generation with Decomposed Mask Prediction and Attentive Shadow Filling", AAAI 2024.

Create stateful objects with GenServer processes using GenObject. Enjoy features like inheritance support, lazy operations, and process-safe interactions. 🚀