Search Results for author: Younggeun Kim

Found 4 papers, 3 papers with code

Noise Conditional Flow Model for Learning the Super-Resolution Space

2 code implementations6 Jun 2021 Younggeun Kim, Donghee Son

Although SRFlow tried to account for ill-posed nature of the super-resolution by predicting multiple high-resolution images given a low-resolution image, there is room to improve the diversity and visual quality.

Super-Resolution

Styleformer: Transformer based Generative Adversarial Networks with Style Vector

3 code implementations CVPR 2022 Jeeseung Park, Younggeun Kim

We propose Styleformer, which is a style-based generator for GAN architecture, but a convolution-free transformer-based generator.

Image Generation

FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing Flow

1 code implementation20 Apr 2022 Ki-Ung Song, Dongseok Shim, Kang-wook Kim, Jae-young Lee, Younggeun Kim

Super-resolution suffers from an innate ill-posed problem that a single low-resolution (LR) image can be from multiple high-resolution (HR) images.

Super-Resolution

LatentSwap: An Efficient Latent Code Mapping Framework for Face Swapping

no code implementations28 Feb 2024 Changho Choi, Minho Kim, Junhyeok Lee, Hyoung-Kyu Song, Younggeun Kim, Seungryong Kim

We show that our framework is applicable to other generators such as StyleNeRF, paving a way to 3D-aware face swapping and is also compatible with other downstream StyleGAN2 generator tasks.

Face Swapping

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