A new interactive digital home for an extinct species.
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Updated
Feb 11, 2023 - JavaScript
A new interactive digital home for an extinct species.
Experimentación con Redes Generativas Adversarias en busca de un modelo que genere carreteras realistas multimodales.
Generative models that generate paintings in the style of Bob Ross based on segmentation images.
Portrait Drawing Generation, ICME 2021, BEST DEMO RUNNER UP AWARD
Generative adversarial network is used to train neural network model to create real image from drawing. Pix2pix tensor flow code is refereed and paint tool is created to interpret trained model results
This Repository Contains Solution to the Assignments of the Generative Adversarial Networks (GANs) Specialization from deeplearning.ai on Coursera Taught by Sharon Zhou, Eda Zhou, Eric Zelikman
Anime face generation: from simple GAN to GauGAN Conditional Generation
[CVPR 2021] Teachers Do More Than Teach: Compressing Image-to-Image Models (CAT)
[NeurIPS 2022] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
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