A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

Overview

Awesome-ICCV2021-Low-Level-VisionAwesome

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)

Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts

PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering

Toward Spatially Unbiased Generative Models

Disentangled Lifespan Face Synthesis

Handwriting Transformers

Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation

ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement

Paint Transformer: Feed Forward Neural Painting with Stroke Prediction

GAN Inversion for Out-of-Range Images with Geometric Transformations

The Animation Transformer: Visual Correspondence via Segment Matching

Image Synthesis via Semantic Composition

Detail Me More: Improving GAN's Photo-Realism of Complex Scenes

De-Rendering Stylized Texts

2.图像编辑(Image Manipulation/Image Editing)

EigenGAN: Layer-Wise Eigen-Learning for GANs

From Continuity to Editability: Inverting GANs with Consecutive Images

HeadGAN: One-shot Neural Head Synthesis and Editing

Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation

Sketch Your Own GAN

A Latent Transformer for Disentangled Face Editing in Images and Videos

Learning Facial Representations from the Cycle-consistency of Face

StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery

Talk-to-Edit: Fine-Grained Facial Editing via Dialog

Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing

GAN-Control: Explicitly Controllable GANs

Explaining in Style: Training a GAN To Explain a Classifier in StyleSpace

3.图像风格迁移(Image Transfer)

ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similarity

Domain Aware Universal Style Transfer

AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer

Diverse Image Style Transfer via Invertible Cross-Space Mapping

StyleFormer: Real-Time Arbitrary Style Transfer via Parametric Style Composition

4.图像翻译(Image to Image Translation)

SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation

Scaling-up Disentanglement for Image Translation

Unaligned Image-to-Image Translation by Learning to Reweight

5.图像修复(Image Inpaiting/Image Completion)

Implicit Internal Video Inpainting

Internal Video Inpainting by Implicit Long-range Propagation

Occlusion-Aware Video Object Inpainting

High-Fidelity Pluralistic Image Completion with Transformers

Image Inpainting via Conditional Texture and Structure Dual Generation

CR-Fill: Generative Image Inpainting with Auxiliary Contextual Reconstruction

FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting

6.图像超分辨率(Image Super-Resolution)

Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution

Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling

Deep Blind Video Super-resolution

Omniscient Video Super-Resolution

Learning A Single Network for Scale-Arbitrary Super-Resolution

Deep Reparametrization of Multi-Frame Super-Resolution and Denoising

Lucas-Kanade Reloaded: End-to-End Super-Resolution from Raw Image Bursts

Attention-Based Multi-Reference Learning for Image Super-Resolution

Fourier Space Losses for Efficient Perceptual Image Super-Resolution

COMISR: Compression-Informed Video Super-Resolution

Designing a Practical Degradation Model for Deep Blind Image Super-Resolutio

Event Stream Super-Resolution via Spatiotemporal Constraint Learning

Super-Resolving Cross-Domain Face Miniatures by Peeking at One-Shot Exemplar

7.图像去雨(Image Deraining)

Structure-Preserving Deraining with Residue Channel Prior Guidance

Improving De-Raining Generalization via Neural Reorganization

Unpaired Learning for Deep Image Deraining With Rain Direction Regularizer

8.图像去雾(Image Dehazing)

9.图像去模糊(Image Deblurring)

Bringing Events into Video Deblurring with Non consecutively Blurry Frames

Rethinking Coarse-to-Fine Approach in Single Image Deblurring

Bringing Events into Video Deblurring with Non consecutively Blurry Frames

Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous Convolutions

10.图像去噪(Image Denoising)

C2N: Practical Generative Noise Modeling for Real-World Denoising

Self-Supervised Image Prior Learning With GMM From a Single Noisy Image

11.图像恢复(Image Restoration)

Spatially-Adaptive Image Restoration using Distortion-Guided Networks

Dynamic Attentive Graph Learning for Image Restoration

12.图像增强(Image Enhancement)

StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement

Real-time Image Enhancer via Learnable Spatial-aware 3D Lookup Tables

Representative Color Transform for Image Enhancement

Adaptive Unfolding Total Variation Network for Low-Light Image Enhancement

13.图像质量评价(Image Quality Assessment)

MUSIQ: Multi-scale Image Quality Transformer

14.插帧(Frame Interpolation)

XVFI: eXtreme Video Frame Interpolation

Asymmetric Bilateral Motion Estimation for Video Frame Interpolation

Training Weakly Supervised Video Frame Interpolation With Events

15.视频/图像压缩(Video/Image Compression)

Extending Neural P-frame Codecs for B-frame Coding

Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform

16.其他底层视觉任务(Other Low Level Vision)

Overfitting the Data: Compact Neural Video Delivery via Content-aware Feature Modulation

Focal Frequency Loss for Image Reconstruction and Synthesis

ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-tree Complex Wavelet Representation and Contradict Channel Loss

IICNet: A Generic Framework for Reversible Image Conversion

Self-Conditioned Probabilistic Learning of Video Rescaling

HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world Benchmark Dataset

A New Journey from SDRTV to HDRTV

SSH: A Self-Supervised Framework for Image Harmonization

Towards Vivid and Diverse Image Colorization with Generative Color Prior

Towards Flexible Blind JPEG Artifacts Removal

Location-Aware Single Image Reflection Removal

Learning To Remove Refractive Distortions From Underwater Images

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Comments
  • supplement code

    supplement code

    The paper 'Attention-based Multi-Reference Learning for Image Super-Resolution' It's code could be found in the Abstract.

    https://marcopesavento.github.io/AMRSR/ ps:coming soon image

    opened by wangp-blog 1
Owner
Image Processing and Computer Vision
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