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Liangyu Chai

2 accepted papers

2022

Faithful Extreme Rescaling via Generative Prior Reciprocated Invertible Representations

CVPR 2022oral

This paper presents a Generative prior ReciprocAted Invertible rescaling Network (GRAIN) for generating faithful high-resolution (HR) images from low-resolution (LR) invertible images with an extreme upscaling factor (64x). Previous researches have leveraged the prior knowledge of a pretrained GAN m…

Cited by 15PDFcodeScholar
2021

Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes

CVPR 2021poster

Generative adversarial networks (GANs) learn to map noise latent vectors to high-fidelity image outputs. It is found that the input latent space shows semantic correlations with the output image space. Recent works aim to interpret the latent space and discover meaningful directions that correspond…

Cited by 64PDFcodeScholar