Enhancement of guided thermal image super-resolution approaches
Guided image processing techniques are widely used to extract meaningful information from
a guiding image and facilitate the enhancement of the guided one. This paper specifically …
a guiding image and facilitate the enhancement of the guided one. This paper specifically …
Depth Map Estimation from a Single 2D Image
This paper presents an innovative architecture based on a Cycle Generative Adversarial
Network (CycleGAN) for the synthesis of high-quality depth maps from monocular images …
Network (CycleGAN) for the synthesis of high-quality depth maps from monocular images …
Boosting Guided Super-Resolution Performance with Synthesized Images
Guided image processing techniques are widely used for extracting information from a
guiding image to aid in the processing of the guided one. These images may be sourced …
guiding image to aid in the processing of the guided one. These images may be sourced …
Depth-Conditioned Thermal-like Image Generation
This paper proposes a novel approach to generate thermal-like representations from RGB
images by using the corresponding depth map as an additional constraint. The given RGB …
images by using the corresponding depth map as an additional constraint. The given RGB …
A Deep Learning Based Approach for Synthesizing Realistic Depth Maps
This paper presents a novel cycle generative adversarial network (CycleGAN) architecture
for synthesizing high-quality depth maps from a given monocular image. The proposed …
for synthesizing high-quality depth maps from a given monocular image. The proposed …
[PDF][PDF] A Generative Model for Guided Thermal Image Super-Resolution
This paper presents a novel approach for thermal super-resolution based on a fusion prior,
low-resolution thermal image and H brightness channel of the corresponding visible …
low-resolution thermal image and H brightness channel of the corresponding visible …
[PDF][PDF] for SynthesizingRealisticDepthMaps
PL Suárez, DC AngelSappa - refbase.cidis.espol.edu.ec
This paper presents a novel cycle generative adversarial network (CycleGAN) architecture
for synthesizing high-quality depth maps from a given monocular image. The proposed …
for synthesizing high-quality depth maps from a given monocular image. The proposed …