Published July 10, 2023
| Version v1
Conference paper
ANYRES: Generating High-Resolution visible-face images from Low-Resolution thermal-face images
Description
Fig. 1. Qualitative results of HiFaceGAN, SRGAN, Pix2Pix, AxialGAN and the proposed ANYRES on the ARL-VTF dataset. We decrease resolution in each row (re-scaled to 128×128). While previous methods are impaired to super resolve facial images for a given resolution by using one specific network for each resolution, our proposed ANYRES achieves a balance between realism and fidelity across resolutions with solely one unified network.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://hal.science/hal-04391831
- URN
- urn:oai:HAL:hal-04391831v1
Origin repository
- Origin repository
- UNICA