Ntire 2023 challenge on 360deg omnidirectional image and video super-resolution: Datasets, methods and results
This report introduces two high-quality datasets Flickr360 and ODV360 for omnidirectional
image and video super-resolution, respectively, and reports the NTIRE 2023 challenge on …
image and video super-resolution, respectively, and reports the NTIRE 2023 challenge on …
Real-world image super-resolution as multi-task learning
In this paper, we take a new look at real-world image super-resolution (real-SR) from a multi-
task learning perspective. We demonstrate that the conventional formulation of real-SR can …
task learning perspective. We demonstrate that the conventional formulation of real-SR can …
OPDN: Omnidirectional position-aware deformable network for omnidirectional image super-resolution
Abstract 360deg omnidirectional images have gained research attention due to their
immersive and interactive experience, particularly in AR/VR applications. However, they …
immersive and interactive experience, particularly in AR/VR applications. However, they …
Egocentric whole-body motion capture with fisheyevit and diffusion-based motion refinement
In this work we explore egocentric whole-body motion capture using a single fisheye camera
which simultaneously estimates human body and hand motion. This task presents significant …
which simultaneously estimates human body and hand motion. This task presents significant …
CAMixerSR: Only Details Need More" Attention"
To satisfy the rapidly increasing demands on the large image (2K-8K) super-resolution (SR)
prevailing methods follow two independent tracks: 1) accelerate existing networks by …
prevailing methods follow two independent tracks: 1) accelerate existing networks by …
Minimalist and high-quality panoramic imaging with PSF-aware transformers
High-quality panoramic images with a Field of View (FoV) of 360° are essential for
contemporary panoramic computer vision tasks. However, conventional imaging systems …
contemporary panoramic computer vision tasks. However, conventional imaging systems …
Tccl-net: Transformer-convolution collaborative learning network for omnidirectional image super-resolution
As virtual reality and metaverse become more and more popular, the Omnidirectional Image
(OI) has attracted extreme attention due to its immersive display characteristics. However …
(OI) has attracted extreme attention due to its immersive display characteristics. However …
TULIP: Transformer for Upsampling of LiDAR Point Clouds
LiDAR Upsampling is a challenging task for the perception systems of robots and
autonomous vehicles due to the sparse and irregular structure of large-scale scene contexts …
autonomous vehicles due to the sparse and irregular structure of large-scale scene contexts …
Omnidirectional Image Super-resolution via Bi-projection Fusion
With the rapid development of virtual reality, omnidirectional images (ODIs) have attracted
much attention from both the industrial community and academia. However, due to storage …
much attention from both the industrial community and academia. However, due to storage …
A Heterogeneous Dynamic Convolutional Neural Network for Image Super-resolution
Convolutional neural networks can automatically learn features via deep network
architectures and given input samples. However, robustness of obtained models may have …
architectures and given input samples. However, robustness of obtained models may have …