37 citations · 116 across the 13 of their papers we have counts for
13 papers
See360: Novel Panoramic View Interpolation
Zhi-Song Liu, Marie-Paule Cani, Wan-Chi Siu
We present See360, which is a versatile and efficient framework for 360 panoramic view interpolation using latent space viewpoint estimation. Most of the existing view rendering ap…
Domain Transfer in Latent Space (DTLS) Wins on Image Super-Resolution -- a Non-Denoising Model
Chun-Chuen Hui, Wan-Chi Siu, Ngai-Fong Law
Large scale image super-resolution is a challenging computer vision task, since vast information is missing in a highly degraded image, say for example forscale x16 super-resolutio…
SoccerNet 2022 Challenges Results
Silvio Giancola, Anthony Cioppa, Adrien Deliège +91
The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team. In 2022, the challenges were composed of 6 vision-based tasks:…
Intelligent Painter: Picture Composition With Resampling Diffusion Model
Wing-Fung Ku, Wan-Chi Siu, Xi Cheng +1
Have you ever thought that you can be an intelligent painter? This means that you can paint a picture with a few expected objects in mind, or with a desirable scene. This is differ…
Name Your Style: An Arbitrary Artist-aware Image Style Transfer
Zhi-Song Liu, Li-Wen Wang, Wan-Chi Siu +1
Image style transfer has attracted widespread attention in the past few years. Despite its remarkable results, it requires additional style images available as references, making i…
Variational AutoEncoder for Reference based Image Super-Resolution
Zhi-Song Liu, Wan-Chi Siu, Li-Wen Wang
In this paper, we propose a novel reference based image super-resolution approach via Variational AutoEncoder (RefVAE). Existing state-of-the-art methods mainly focus on single ima…
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
Pengxu Wei, Hannan Lu, Radu Timofte +68
This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This ch…
DeepGIN: Deep Generative Inpainting Network for Extreme Image Inpainting
Chu-Tak Li, Wan-Chi Siu, Zhi-Song Liu +2
The degree of difficulty in image inpainting depends on the types and sizes of the missing parts. Existing image inpainting approaches usually encounter difficulties in completing…
Deep Relighting Networks for Image Light Source Manipulation
Li-Wen Wang, Wan-Chi Siu, Zhi-Song Liu +2
Manipulating the light source of given images is an interesting task and useful in various applications, including photography and cinematography. Existing methods usually require…
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
Andreas Lugmayr, Martin Danelljan, Radu Timofte +43
This paper reviews the NTIRE 2020 challenge on real world super-resolution. It focuses on the participating methods and final results. The challenge addresses the real world settin…
Unsupervised Real Image Super-Resolution via Generative Variational AutoEncoder
Zhi-Song Liu, Wan-Chi Siu, Li-Wen Wang +3
Benefited from the deep learning, image Super-Resolution has been one of the most developing research fields in computer vision. Depending upon whether using a discriminator or not…
Image Super-Resolution via Attention based Back Projection Networks
Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li +2
Deep learning based image Super-Resolution (SR) has shown rapid development due to its ability of big data digestion. Generally, deeper and wider networks can extract richer featur…
Hierarchical Back Projection Network for Image Super-Resolution
Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li +1
Deep learning based single image super-resolution methods use a large number of training datasets and have recently achieved great quality progress both quantitatively and qualitat…