We propose a novel Conditional Variational AutoEncoder model for this Reference based Face Super-Resolution (RefSR-VAE).
Aug 8, 2019 · We create a benchmark dataset on reference based face super-resolution (RefSR-Face) for general research use, which contains reference images ...
This paper proposes a progressive face super-resolution network, called RPF, to super-resolve a facial image without losing details and personal identity.
People also ask
What is the super-resolution theory?
What is the super-resolution method?
What is a super-resolution image?
What is the super-resolution factor?
Reference-based Super-Resolution aims to recover high-resolution images by utilizing external reference images containing similar content to generate rich ...
May 10, 2023 · In this paper, we propose a progressive face super-resolution network, called RPF, to super-resolve a facial image without losing details and personal identity.
May 1, 2024 · In this paper, we propose a Detail-Enhancing Framework (DEF) for reference-based super-resolution, which introduces the diffusion model to generate and enhance ...
This paper investigates a new research direction in face super-resolution, called Reference based face Super-Resolution (RefSR), in which a reference facial ...
The texture transfer task extracts and transfers abundant textures from the reference image to the coarsely upsam- pled result of the super-resolution task.
Hence, in this paper, we propose a progressive face super-resolution network, called RPF, to super-resolve a facial image without losing details and personal ...
Oct 22, 2024 · ... Its main goal is to enhance a low-resolution image into a highresolution image. It can be applied into various applications, such as video ...