NTIRE 2024 challenge on light field image super-resolution: Methods and results
In this report we summarize the 2nd NTIRE challenge on light field (LF) image super-
resolution (SR) with a focus on new methods and results. This challenge aims at super …
resolution (SR) with a focus on new methods and results. This challenge aims at super …
An attention mechanism-improved YOLOv7 object detection algorithm for hemp duck count estimation
Stocking density presents a key factor affecting livestock and poultry production on a large
scale as well as animal welfare. However, the current manual counting method used in the …
scale as well as animal welfare. However, the current manual counting method used in the …
Nafssr: Stereo image super-resolution using nafnet
Stereo image super-resolution aims at enhancing the quality of super-resolution results by
utilizing the complementary information provided by binocular systems. To obtain …
utilizing the complementary information provided by binocular systems. To obtain …
Refusion: Enabling large-size realistic image restoration with latent-space diffusion models
This work aims to improve the applicability of diffusion models in realistic image restoration.
Specifically, we enhance the diffusion model in several aspects such as network …
Specifically, we enhance the diffusion model in several aspects such as network …
Swinfir: Revisiting the swinir with fast fourier convolution and improved training for image super-resolution
Transformer-based methods have achieved impressive image restoration performance due
to their capacities to model long-range dependency compared to CNN-based methods …
to their capacities to model long-range dependency compared to CNN-based methods …
NTIRE 2023 challenge on stereo image super-resolution: Methods and results
In this paper, we summarize the 2nd NTIRE challenge on stereo image super-resolution
(SR) with a focus on new solutions and results. The task of the challenge is to super-resolve …
(SR) with a focus on new solutions and results. The task of the challenge is to super-resolve …
Spatial-angular interaction for light field image super-resolution
Light field (LF) cameras record both intensity and directions of light rays, and capture scenes
from a number of viewpoints. Both information within each perspective (ie, spatial …
from a number of viewpoints. Both information within each perspective (ie, spatial …
Light field image super-resolution using deformable convolution
Light field (LF) cameras can record scenes from multiple perspectives, and thus introduce
beneficial angular information for image super-resolution (SR). However, it is challenging to …
beneficial angular information for image super-resolution (SR). However, it is challenging to …
The UAV Target Detection Algorithm Based on Improved YOLO V8
Z Bao - Proceedings of the International Conference on Image …, 2024 - dl.acm.org
UAV image detection has a wide range of applications in the fields of intelligent surveillance,
disaster assessment and environmental protection. However, UAVs are non-cooperative …
disaster assessment and environmental protection. However, UAVs are non-cooperative …
Symmetric parallax attention for stereo image super-resolution
Although recent years have witnessed the great advances in stereo image super-resolution
(SR), the beneficial information provided by binocular systems has not been fully used …
(SR), the beneficial information provided by binocular systems has not been fully used …