3260 papers • 126 benchmarks • 313 datasets
Thumbnail generation is the task of generating image thumbnails from an input image. ( Image credit: User Constrained Thumbnail Generation using Adaptive Convolutions )
(Image credit: Papersgraph)
These leaderboards are used to track progress in image-generation
No benchmarks available.
Use these libraries to find image-generation models and implementations
No datasets available.
No subtasks available.
This paper proposes a lightweight method to attract users and increase views of the video by presenting personalized artistic media -- i.e, static thumbnails and animated GIFs, the first technique that uses LTC to generate artistic media while providing lightweight and high-performance services even on resource-constrained devices.
This work proposes a deep neural framework to generate thumbnails of any size and aspect ratio, even for unseen values during training, with high accuracy and precision, over existing state-of-the-art techniques.
Adding a benchmark result helps the community track progress.