A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation
整理汇总下2021年ICCV中图像生成(Image Generation)和底层视觉(Low-Level Vision)任务相关的论文和代码,包括图像生成,图像编辑,图像风格迁移,图像翻译,图像修复,图像超分及其他底层视觉任务。大家如果觉得有帮助,欢迎star~~
参考或转载请注明出处,文中有不足或者需要补充的地方也欢迎PR
ICCV2021官网:https://iccv2021.thecvf.com/
ICCV2021完整论文列表:https://openaccess.thecvf.com/ICCV2021
开会时间:2021年10月11日-10月17日
【Contents】
- 1.图像生成(Image Generation)
- 2.图像编辑(Image Manipulation/Image Editing)
- 3.图像风格迁移(Image Transfer)
- 4.图像翻译(Image to Image Translation)
- 5.图像修复(Image Inpaiting/Image Completion)
- 6.图像超分辨率(Image Super-Resolution)
- 7.图像去雨(Image Deraining)
- 8.图像去雾(Image Dehazing)
- 9.图像去模糊(Image Deblurring)
- 10.图像去噪(Image Denoising)
- 11.图像恢复(Image Restoration)
- 12.图像增强(Image Enhancement)
- 13.图像质量评价(Image Quality Assessment)
- 14.插帧(Frame Interpolation)
- 15.视频/图像压缩(Video/Image Compression)
- 16.其他底层视觉任务(Other Low Level Vision)
- Paper:https://arxiv.org/abs/2104.00887
- Code:https://github.com/clovaai/mxfont
- 小样本字体生成
- Paper:https://arxiv.org/abs/2104.03964
- Code:https://github.com/ankanbhunia/Handwriting-Transformers
Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation
- Paper:https://arxiv.org/abs/2109.02614
- 手绘图变动画
- Paper:https://shepnerd.github.io/scg/resources/01145.pdf
- Code:https://github.com/dvlab-research/SCGAN
- Paper:https://openaccess.thecvf.com/content/ICCV2021/html/Shimoda_De-Rendering_Stylized_Texts_ICCV_2021_paper.html
- Code:https://github.com/dvlab-research/SCGAN
- Paper:https://arxiv.org/abs/2107.13812
- Code:https://github.com/cnnlstm/InvertingGANs_with_ConsecutiveImgs
- Paper:https://arxiv.org/abs/2106.11895
- Code:https://github.com/InterDigitalInc/Latent-Transformer
Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing
- Paper:https://cuiaiyu.github.io/dressing-in-order/Cui_Dressing_in_Order.pdf
- Code:https://github.com/cuiaiyu/dressing-in-order
- Paper:https://openaccess.thecvf.com/content/ICCV2021/html/Shoshan_GAN-Control_Explicitly_Controllable_GANs_ICCV_2021_paper.html
- Code:https://github.com/cuiaiyu/dressing-in-order
- Paper:https://openaccess.thecvf.com/content/ICCV2021/html/Lang_Explaining_in_Style_Training_a_GAN_To_Explain_a_Classifier_ICCV_2021_paper.html
- Code:https://github.com/google/explaining-in-style
- Paper:https://arxiv.org/abs/2108.04441
- Code:https://github.com/Kibeom-Hong/Domain-Aware-Style-Transfer
- Paper:https://openaccess.thecvf.com/content/ICCV2021/html/Xie_Unaligned_Image-to-Image_Translation_by_Learning_to_Reweight_ICCV_2021_paper.html
- Code:https://github.com/Mid-Push/IrwGAN
- Paper:https://openaccess.thecvf.com/content/ICCV2021/html/Liu_FuseFormer_Fusing_Fine-Grained_Information_in_Transformers_for_Video_Inpainting_ICCV_2021_paper.html
- Code:https://github.com/ruiliu-ai/FuseFormer
- Paper:https://openaccess.thecvf.com/content/ICCV2021/html/Li_COMISR_Compression-Informed_Video_Super-Resolution_ICCV_2021_paper.html
- Code:https://github.com/google-research/google-research/tree/master/comisr
- 针对压缩后的视频超分
- Paper:https://openaccess.thecvf.com/content/ICCV2021/html/Zhang_Designing_a_Practical_Degradation_Model_for_Deep_Blind_Image_Super-Resolution_ICCV_2021_paper.html
- Code:https://github.com/cszn/BSRGAN
- Paper:https://arxiv.org/abs/2108.13697
- Code:https://github.com/marcopesavento/Attention-based-Multi-Reference-Learning-for-Image-Super-Resolution
- Paper:https://openaccess.thecvf.com/content/ICCV2021/html/Xiao_Improving_De-Raining_Generalization_via_Neural_Reorganization_ICCV_2021_paper.html
- Code:https://github.com/cszn/BSRGAN
- Paper:https://openaccess.thecvf.com/content/ICCV2021/html/Liu_Unpaired_Learning_for_Deep_Image_Deraining_With_Rain_Direction_Regularizer_ICCV_2021_paper.html
- Code:https://github.com/cszn/BSRGAN
- Paper:https://openaccess.thecvf.com/content/ICCV2021/html/Liu_Self-Supervised_Image_Prior_Learning_With_GMM_From_a_Single_Noisy_ICCV_2021_paper.html
- Code:https://github.com/HUST-Tan/SS-GMM
- Paper:https://openaccess.thecvf.com/content/ICCV2021/html/Zheng_Adaptive_Unfolding_Total_Variation_Network_for_Low-Light_Image_Enhancement_ICCV_2021_paper.html
- Code:https://github.com/YU-Zhiyang/WEVI
- Paper:https://openaccess.thecvf.com/content/ICCV2021/papers/Khani_Efficient_Video_Compression_via_Content-Adaptive_Super-Resolution_ICCV_2021_paper.pdf
- Code:https://github.com/AdaptiveVC/SRVC
- Paper:https://arxiv.org/abs/2012.12821
- Code:https://github.com/EndlessSora/focal-frequency-loss
- 频域损失,补充空域损失的不足
ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-tree Complex Wavelet Representation and Contradict Channel Loss
- Paper:https://github.com/jiaxi-jiang/FBCNN/releases/download/v1.0/FBCNN_ICCV2021.pdf
- Code:https://github.com/jiaxi-jiang/FBCNN