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Found 4 papers, 4 papers with code
Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models
Transformers have catalyzed advancements in computer vision and natural language processing (NLP) fields.
Composing Good Shots by Exploiting Mutual Relations
However, the mutual relations between the candidates from an image play an essential role in composing a good shot due to the comparative nature of this problem.
Learning to Learn Cropping Models for Different Aspect Ratio Requirements
In addition, both the intermediate and final results show that the proposed model can predict different cropping windows for an image depending on different aspect ratio requirements.
A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping
Image cropping aims at improving the aesthetic quality of images by adjusting their composition.
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