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cs-chan
ArtGAN + WikiArt: This work presents a series of new approaches to improve GAN for conditional image synthesis and we name the proposed model as “ArtGAN”.
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Explore the skillcs-chan
ArtGAN + WikiArt: This work presents a series of new approaches to improve GAN for conditional image synthesis and we name the proposed model as “ArtGAN”.
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Explore the skillnupurkmr9
Ensembling Off-the-shelf Models for GAN Training (CVPR 2022 Oral)
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Explore the skillScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)
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Explore the skillskycrapers
A PyTorch Reimplementation of TecoGAN: Temporally Coherent GAN for Video Super-Resolution
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Explore the skillalpc91
Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
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StoryGAN: A Sequential Conditional GAN for Story Visualization
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Explore the skillzhangqianhui
Tensorflow implementation for Conditional Convolutional Adversarial Networks.
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Explore the skillHRLTY
Official TP-GAN Tensorflow implementation for paper "Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthe…
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Explore the skillHa0Tang
[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
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Explore the skillproceduralia
GANs for time series generation in pytorch
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Explore the skill3dhumangan
A 3D-aware generative adversarial network (GAN) that synthesizes images of full-body humans with consistent appearances under different view-angles and body-poses.
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Explore the skillwiseodd
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
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Explore the skillTalkUHulk
A toolbox for deep learning model deployment using C++ YoloX | YoloV7 | YoloV8 | Gan | OCR | MobileVit | Scrfd | MobileSAM | StableDiffusion
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Explore the skillTengfei-Wang
CVPR 2022 HFGI: High-Fidelity GAN Inversion for Image Attribute Editing
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Explore the skillnickrussler
Converts email files (eml, msg) to pdf
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Explore the skillEndlessSora
[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data