image-generation

ROI-based image generation

3260 papers • 126 benchmarks • 313 datasets

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Benchmarks

These leaderboards are used to track progress in image-generation

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i

Use these libraries to find image-generation models and implementations

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Most implemented papers

OPTIMIZATION OF DEEP LEARNING BASED LIGHT WEIGHT SKIN DISEASE CLASSIFICATION MODEL USING TRANSFER LEARNING AND MODEL QUANTIZATION FOR RESOURCE-CONSTRAINED ENVIRONMENTS

W. Azeem, M. U. Ahmad, T. Ahamd, A. Farooq3,, A. I. Mirza, I. Shahzadi•Mon Dec 29 2025

An efficient convolutional neural network-based framework for multi-class skin disease classification using MobileNetV2 using MobileNetV2 is investigated and the suitability of the proposed approach for mobile based clinical applications is highlighted.

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GlaucoDiff: A Framework for Generating Balanced Glaucoma Fundus Images and Improving Diagnostic Performance

Caisheng Liao, Y. Todo, Jiashu Zhang, Zheng Tang•Sun Aug 17 2025

Results demonstrate the practical value of GlaucoDiff in alleviating data imbalance and improving diagnostic accuracy for AI‐assisted glaucoma screening and suggest that although more synthetic images can enhance the model's ability to detect positive cases, too much synthetic data may reduce overall classification performance.

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MOGAN: Morphologic-Structure-Aware Generative Learning From a Single Image

Mengchu Zhou, Q. Kang, Jinshu Chen, Qihui Xu•Wed Mar 03 2021

This work introduces a morphologic-structure-aware generative adversarial network named MOGAN that produces random samples with diverse appearances and reliable structures based on only one image and focuses on internal features, including the maintenance of rational structures and variation on appearance.

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