NTIRE: 9th New Trends in Image Restoration and Enhancement workshop and challenges 2024 In conjunction with CVPR 2024 https://cvlai.net/ntire/2024/ Contact: radu.timofte [at] uni-wuerzburg.de Scope Image restoration, enhancement and manipulation are key computer vision tasks, aiming at the resto...
近日,CVPR NTIRE 2024 Challenges[1]各赛道相继公布比赛结果,小红书音视频架构团队图像算法组在两项重要竞赛中斩获冠、亚军。 其中,他们主导参与 Restore Any Image Model in the Wild Challenge[2](简称RAIM),在该赛事上获得第二名(客观指标第一,主观评价第二,综合排名第二)。 在Short-form UGC Video Quality A...
NTIRE: 8th New Trends in Image Restoration and Enhancement workshop and challenges 2023 In conjunction with CVPR 2023 https://cvlai.net/ntire/2023/ Contact: radu.timofte [at] uni-wuerzburg.de Scope Image restoration, enhancement and manipulation are key computer vision tasks, aiming at the resto...
近日,CVPR NTIRE 2024 Challenges[1]各赛道相继公布比赛结果,小红书音视频架构团队图像算法组在两项重要竞赛中斩获冠、亚军。 其中,他们主导参与 Restore Any Image Model in the Wild Challenge[2](简称 RAIM),在该赛事上获得第二名(客观指标第一,主观评价第二,综合排名第二)。 在Short-form UGC Video Quality ...
近日,CVPR NTIRE 2024 Challenges[1]各赛道相继公布比赛结果,小红书音视频架构团队图像算法组在两项重要竞赛中斩获冠、亚军。 其中,他们主导参与 Restore Any Image Model in the Wild Challenge[2](简称 RAIM),在该赛事上获得第二名(客观指标第一,主观评价第二,综合排名第二)。
Official PyTorch implementation of dehazing method based on FFC and ConvNeXt, 1st place solution of NTIRE 2023 HR NonHomogeneous Dehazing Challenge (CVPR Workshop 2023). deep-learningcvprntiredehazing-networkcvpr2023ntire2023 UpdatedMar 28, 2024 ...
To promote the development of short-form UGC VQA, we have the first NTIRE challenge on Short-form UGC Video Quality Assessment, jointly with the NTIRE workshop. This competition introduces the large-scale Kaleidoscope short Video database for Quality assessment, termed KVQ, for training and ...
NTIRE2018: New Trends in Image Restoration and Enhancement workshop and challenges on image super-resolution, image dehazing, and spectral reconstruction This paper reviews the NTIRE 2024 challenge on image super-resolution ($imes$4), highlighting the solutions proposed and the outcomes obtained. The...
为解决单幅图像超分辨率(SISR)领域普遍存在的难部署于资源受限设备的问题,本文提出蓝图可分离残差网络,引入更有效注意力操作的同时摒弃传统冗余卷积操作,性能达到目前高效SR方法中的SOTA。代码即将开源~ 论文地址:https://arxiv.org/abs/2205.05996 代码地址:https://github.com/xiaom233/BSRN ...
NTIRE 全称为 New Trends in Image Restoration and Enhancement ,研究图像恢复、增强新趋势,聚焦图像视频的质量改进与评估,虽然底层图像视频处理是传统方向,但 New Trends 却给这个领域带来新内涵。 目前是CV研究社区近几年非常热门的话题,其每年与 CVPR 同期举行(今年的会议依然是6月份),包含Workshop 与相关的挑战...