Search Results for author: Kazutoshi Akita

Found 6 papers, 1 papers with code

Burst Super-Resolution with Diffusion Models for Improving Perceptual Quality

1 code implementation28 Mar 2024 Kyotaro Tokoro, Kazutoshi Akita, Norimichi Ukita

In our proposed method, on the other hand, burst LR features are used to reconstruct the initial burst SR image that is fed into an intermediate step in the diffusion model.

Image Enhancement Super-Resolution

Kernelized Back-Projection Networks for Blind Super Resolution

no code implementations16 Feb 2023 Tomoki Yoshida, Yuki Kondo, Takahiro Maeda, Kazutoshi Akita, Norimichi Ukita

In our second model, the Kernelized BackProjection Network (KBPN), a raw kernel is estimated and directly employed for modeling the image degradation.

Blind Super-Resolution Super-Resolution

Image Super-Resolution using Explicit Perceptual Loss

no code implementations1 Sep 2020 Tomoki Yoshida, Kazutoshi Akita, Muhammad Haris, Norimichi Ukita

The previous approaches use several loss functions which is hard to interpret and has the implicit relationships to improve the perceptual score.

Image Super-Resolution

Cannot find the paper you are looking for? You can Submit a new open access paper.