The awesome-image-translation repository is a curated collection of resources focused on image-to-image translation techniques. It encompasses a wide range of materials, including research papers, open-source frameworks, and datasets, organized by year for easy navigation. This repository serves as a valuable reference for researchers and practitioners interested in the field of image-to-image translation.
Key Features
Comprehensive Organization: Resources are categorized by year, ranging from 2019 to 2024, allowing users to explore the evolution of image-to-image translation techniques.
Diverse Content: Includes research papers, implementations, and datasets, providing a holistic view of the field.
Open Source Frameworks: Highlights notable open-source frameworks such as joliGEN, facilitating hands-on experimentation and development.
Community Contributions: Encourages feedback and contributions, fostering a collaborative environment for knowledge sharing.