RFR-Inpainting:CVPR 2020接受的论文“图像修复的递归特征推理”的源代码

上传者: 42172204 | 上传时间: 2022-04-06 20:36:10 | 文件大小: 7.76MB | 文件类型: ZIP
图像修复的递归特征推理 要求 Python> = 3.5 PyTorch> = 1.0.0 Opencv2 == 3.4.1 Scipy == 1.1.0 脾气暴躁== 1.14.3 Scikit图像(skimage)== 0.13.1 这是我们实验的环境。 这些软件包的更高版本可能需要对代码进行一些修改。 尽管我们的方法不限于任何特定的CUDA和cudnn版本,但强烈建议您使用这些工具包的最新版本。 由于RFR-Net的周期性设计,它似乎可以在较旧的CUDA版本中运行缓慢。 预训练模型 到预训练模型的链接。 (当前为Paris StreetView,CelebA数据集)。 我们希望在1月底之前释放Places2权重,对于存储系统故障导致的延迟,我们深表歉意。 如果模型用于学术目的,我们强烈建议用户重新训练模型,以确保进行公平的比较(这一直是人们所期望的)。 使用当前版本的

文件下载

资源详情

[{"title":"( 26 个子文件 7.76MB ) RFR-Inpainting:CVPR 2020接受的论文“图像修复的递归特征推理”的源代码","children":[{"title":"RFR-Inpainting-master","children":[{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":".gitattributes <span style='color:#111;'> 66B </span>","children":null,"spread":false},{"title":"utils","children":[{"title":"__pycache__","children":[{"title":"io.cpython-36.pyc <span style='color:#111;'> 1.01KB </span>","children":null,"spread":false}],"spread":true},{"title":"io.py <span style='color:#111;'> 959B </span>","children":null,"spread":false}],"spread":true},{"title":"results","children":[{"title":"img_106.png <span style='color:#111;'> 104.61KB </span>","children":null,"spread":false},{"title":"img_321.png <span style='color:#111;'> 101.95KB </span>","children":null,"spread":false},{"title":"img_326.png <span style='color:#111;'> 81.43KB </span>","children":null,"spread":false},{"title":"masked_img_586.png <span style='color:#111;'> 37.28KB </span>","children":null,"spread":false},{"title":"masked_img_326.png <span style='color:#111;'> 19.90KB </span>","children":null,"spread":false},{"title":"masked_img_321.png <span style='color:#111;'> 30.42KB </span>","children":null,"spread":false},{"title":"img_586.png <span style='color:#111;'> 86.56KB </span>","children":null,"spread":false},{"title":"masked_img_106.png <span style='color:#111;'> 25.65KB </span>","children":null,"spread":false}],"spread":true},{"title":"modules","children":[{"title":"Attention.py <span style='color:#111;'> 3.38KB </span>","children":null,"spread":false},{"title":"RFRNet.py <span style='color:#111;'> 7.00KB </span>","children":null,"spread":false},{"title":"RFRNet_Smaller_Hole.py <span style='color:#111;'> 7.00KB </span>","children":null,"spread":false},{"title":"partialconv2d.py <span style='color:#111;'> 3.23KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"RFRNet.cpython-36.pyc <span style='color:#111;'> 5.95KB </span>","children":null,"spread":false},{"title":"Attention.cpython-36.pyc <span style='color:#111;'> 2.96KB </span>","children":null,"spread":false},{"title":"RefNet.cpython-36.pyc <span style='color:#111;'> 5.95KB </span>","children":null,"spread":false},{"title":"partialconv2d.cpython-36.pyc <span style='color:#111;'> 1.90KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"model.py <span style='color:#111;'> 7.23KB </span>","children":null,"spread":false},{"title":"run.py <span style='color:#111;'> 1.77KB </span>","children":null,"spread":false},{"title":"dataset.py <span style='color:#111;'> 7.00KB </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 7.40KB </span>","children":null,"spread":false},{"title":"Paper","children":[{"title":"Recurrent_Feature_Reasoning_for_Image_Inpainting.pdf <span style='color:#111;'> 7.43MB </span>","children":null,"spread":false}],"spread":true}],"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明