专题:Generative Adversarial Networks and Image Synthesis

This cluster of papers focuses on the application of Generative Adversarial Networks (GANs) in image processing, including image synthesis, style transfer, representation learning, and unsupervised learning. The papers cover various techniques such as image inpainting, texture synthesis, and conditional generative models using deep learning and neural networks.
最新文献
Conditional flow matching for generative modelling of near-wall turbulence with quantified uncertainty

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Full-Spectrum Synthetic Organizations: How AI Closes the Last Verification Gap for Under $500

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FreeStyle: Free lunch for text-guided style transfer using diffusion models

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Enhanced Force-Scheme: A fast and accurate global dimensionality reduction method

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Multiscale scattering forests: A domain-generalizing approach for fault diagnosis under data constraints

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Large Foundation Model Empowered Region-aware Underwater Image Captioning

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VideoExpert: Augmented LLM for Temporal-Sensitive Video Understanding

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IHMambaSR: An importance-guided hierarchical mamba with dynamic prompt for single image super-resolution

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Adaptive deep clustering via disentangled hyperspherical VAEs with contrastive geometry optimization

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Efficient prediction of phase-field crystal dynamics via β-variational autoencoders and time-series transformers on coupled physical fields

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近5年高被引文献
Learning Multiple Layers of Features from Tiny Images

dissertation Full Text OpenAlex 25443 FWCI0

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

preprint Full Text OpenAlex 15638 FWCI0

High-Resolution Image Synthesis with Latent Diffusion Models

article Full Text OpenAlex 12273 FWCI700.9623

Adding Conditional Control to Text-to-Image Diffusion Models

article Full Text OpenAlex 3124 FWCI726.7797

Generative Adversarial Networks

book-chapter Full Text OpenAlex 2577 FWCI25.8583

Hierarchical Text-Conditional Image Generation with CLIP Latents

preprint Full Text OpenAlex 2263 FWCI0

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

article Full Text OpenAlex 1786 FWCI216.9884

Image Super-Resolution Via Iterative Refinement

article Full Text OpenAlex 1571 FWCI154.8082

Diffusion Models in Vision: A Survey

article Full Text OpenAlex 1462 FWCI177.7443

Palette: Image-to-Image Diffusion Models

preprint Full Text OpenAlex 1414 FWCI139.5483