2020年12月100篇GAN/对抗论文汇总

刺骨的言语ヽ痛彻心扉 2023-01-04 13:17 126阅读 0赞

> 点击上方“**机器学习与生成对抗网络**”，关注"星标"
> 
> 获取有趣、好玩的前沿干货！

[**超100篇！CVPR 2020最全GAN论文梳理！**][100_CVPR 2020_GAN]** **

[**2020年11月80篇GAN/对抗论文汇总**][2020_11_80_GAN]

**[2020年10月80篇GAN/对抗论文汇总][2020_10_80_GAN]**

**[2020年9月70篇GAN/对抗论文汇总][2020_9_70_GAN]**

[**2020年8月60篇GAN/对抗论文汇总**][2020_8_60_GAN]

[**2020年7月90篇GAN论文汇总**][2020_7_90_GAN]

**[2020年6月100篇最新GAN论文汇总][2020_6_100_GAN]**

**[2020年5月60篇GAN论文汇总][2020_5_60_GAN]**

**[2020年4月份70多篇GAN论文！][2020_4_70_GAN]**

[**2020年3月至今90多篇GAN论文！**][2020_3_90_GAN]

[**2020年2月50多篇GAN论文！**][2020_2_50_GAN]

**[2020年1月部分GAN论文清单][2020_1_GAN] **

001  (2021-01-7) Adversarial Machine Learning for 5G Communications Security

https://arxiv.org/pdf/2101.02656.pdf

002  (2021-01-7) A spin-glass model for the loss surfaces of generative adversarial networks

https://arxiv.org/pdf/2101.02524.pdf

003  (2021-01-7) Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed

https://arxiv.org/pdf/2101.02388.pdf

004  (2021-01-7) VHS to HDTV Video Translation using Multi-task Adversarial Learning

https://arxiv.org/pdf/2101.02384.pdf

005  (2021-01-6) OAAE  Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space

https://arxiv.org/pdf/2101.02358.pdf

006  (2021-01-6) Model Extraction and Defenses on Generative Adversarial Networks

https://arxiv.org/pdf/2101.02069.pdf

007  (2021-01-5) Minibatch optimal transport distances; analysis and applications

https://arxiv.org/pdf/2101.01792.pdf

008  (2020-12-27) Generative Adversarial Networks with Physical Evaluators for Spray Simulation of Pintle Injector

https://arxiv.org/pdf/2101.01217.pdf

009  (2020-12-21) Understanding Health Misinformation Transmission  An Interpretable Deep Learning Approach to Manage Infodemics

https://arxiv.org/pdf/2101.01076.pdf

010  (2021-01-4) Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines

https://arxiv.org/pdf/2101.01042.pdf

011  (2021-01-4) Guiding GANs  How to control non-conditional pre-trained GANs for conditional image generation

https://arxiv.org/pdf/2101.00990.pdf

012  (2021-01-3) Copula Flows for Synthetic Data Generation

https://arxiv.org/pdf/2101.00598.pdf

013  (2021-01-2) Six-channel Image Representation for Cross-domain Object Detection

https://arxiv.org/pdf/2101.00561.pdf

014  (2021-01-2) RV-GAN   Retinal Vessel Segmentation from Fundus Images using Multi-scale Generative Adversarial Networks

https://arxiv.org/pdf/2101.00535.pdf

015  (2021-01-2) ORDisCo  Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning

https://arxiv.org/pdf/2101.00407.pdf

016  (2020-12-31) Generative Max-Mahalanobis Classifiers for Image Classification Generation and More

https://arxiv.org/pdf/2101.00122.pdf

017  (2020-12-31) FGF-GAN  A Lightweight Generative Adversarial Network for Pansharpening via Fast Guided Filter

https://arxiv.org/pdf/2101.00062.pdf

018  (2020-12-26) EC-GAN  Low-Sample Classification using Semi-Supervised Algorithms and GANs

https://arxiv.org/pdf/2012.15864.pdf

019  (2020-12-30) Generative Adversarial Network for Image Synthesis

https://arxiv.org/pdf/2012.15446.pdf

020  (2020-12-30) OSTeC  One-Shot Texture Completion

https://arxiv.org/pdf/2012.15370.pdf

021  (2020-12-30) Bidirectional Mapping Coupled GAN for Generalized Zero-Shot Learning

https://arxiv.org/pdf/2012.15054.pdf

022  (2020-12-30) Unpaired Image Enhancement with Quality-Attention Generative Adversarial Network

https://arxiv.org/pdf/2012.15052.pdf

023  (2020-12-29) Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network

https://arxiv.org/pdf/2012.15020.pdf

024  (2020-12-28) Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning

https://arxiv.org/pdf/2012.14584.pdf

025  (2020-12-28) A Differentially Private Multi-Output Deep Generative Networks Approach For Activity Diary Synthesis

https://arxiv.org/pdf/2012.14574.pdf

026  (2020-12-28) ACT  Asymptotic Conditional Transport

https://arxiv.org/pdf/2012.14100.pdf

027  (2020-12-27) Generative Partial Visual-Tactile Fused Object Clustering

https://arxiv.org/pdf/2012.14070.pdf

028  (2020-12-26) Image Synthesis with Adversarial Networks  a Comprehensive Survey and Case Studies

https://arxiv.org/pdf/2012.13736.pdf

029  (2020-12-22) Generating Long-term Continuous Multi-type Generation Profiles using Generative Adversarial Network

https://arxiv.org/pdf/2012.13344.pdf

030  (2020-12-24) UMLE  Unsupervised Multi-discriminator Network for Low Light Enhancement

https://arxiv.org/pdf/2012.13177.pdf

031  (2020-12-23) IFGAN  Missing Value Imputation using Feature-specific Generative Adversarial Networks

https://arxiv.org/pdf/2012.12581.pdf

032  (2020-12-22) Cloud removal in remote sensing images using generative adversarial networks and SAR-to-optical image translation

https://arxiv.org/pdf/2012.12180.pdf

033  (2020-12-22) Wideband Channel Estimation with A Generative Adversarial Network

https://arxiv.org/pdf/2012.12063.pdf

034  (2020-12-22) GuidedStyle  Attribute Knowledge Guided Style Manipulation for Semantic Face Editing

https://arxiv.org/pdf/2012.11856.pdf

035  (2020-12-22) Adversarial Multiscale Feature Learning for Overlapping Chromosome Segmentation

https://arxiv.org/pdf/2012.11847.pdf

036  (2020-12-22) Dual-encoder Bidirectional Generative Adversarial Networks for Anomaly Detection

https://arxiv.org/pdf/2012.11834.pdf

037  (2020-12-21) AVAE  Adversarial Variational Auto Encoder

https://arxiv.org/pdf/2012.11551.pdf

038  (2020-12-20) DeepKeyGen  A Deep Learning-based Stream Cipher Generator for Medical Image Encryption and Decryption

https://arxiv.org/pdf/2012.11097.pdf

039  (2020-12-30) Adversarial Patch Generation for Automatic Program Repair

https://arxiv.org/pdf/2012.11060.pdf

040  (2020-12-20) Multi-Head Linear Attention Generative Adversarial Network for Thin Cloud Removal

https://arxiv.org/pdf/2012.10898.pdf

041  (2020-12-19) DCCRGAN  Deep Complex Convolution Recurrent Generator Adversarial Network for Speech Enhancement

https://arxiv.org/pdf/2012.10732.pdf

042  (2020-12-18) An Assessment of GANs for Identity-related Applications

https://arxiv.org/pdf/2012.10553.pdf

043  (2020-12-18) A 3D GAN for Improved Large-pose Facial Recognition

https://arxiv.org/pdf/2012.10545.pdf

044  (2020-12-18) Minimax Active Learning

https://arxiv.org/pdf/2012.10467.pdf

045  (2020-12-18) Convergence dynamics of Generative Adversarial Networks  the dual metric flows

https://arxiv.org/pdf/2012.10410.pdf

046  (2020-12-17) ErGAN  Generative Adversarial Networks for Entity Resolution

https://arxiv.org/pdf/2012.10004.pdf

047  (2020-12-17) Combating Mode Collapse in GAN training  An Empirical Analysis using Hessian Eigenvalues

https://arxiv.org/pdf/2012.09673.pdf

048  (2020-12-16) Roof-GAN  Learning to Generate Roof Geometry and Relations for Residential Houses

https://arxiv.org/pdf/2012.09340.pdf

049  (2020-12-16) DECOR-GAN  3D Shape Detailization by Conditional Refinement

https://arxiv.org/pdf/2012.09159.pdf

050  (2020-12-16) Joint Generative and Contrastive Learning for Unsupervised Person Re-identification

https://arxiv.org/pdf/2012.09071.pdf

051  (2020-12-16) SimuGAN  Unsupervised forward modeling and optimal design of a LIDAR Camera

https://arxiv.org/pdf/2012.08951.pdf

052  (2020-12-16) Latent Space Conditioning on Generative Adversarial Networks

https://arxiv.org/pdf/2012.08803.pdf

053  (2020-12-15) StrokeGAN  Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding

https://arxiv.org/pdf/2012.08687.pdf

054  (2020-12-15) A Closer Look at the Robustness of Vision-and-Language Pre-trained Models

https://arxiv.org/pdf/2012.08673.pdf

055  (2020-12-15) Geometric Surface Image Prediction for Image Recognition Enhancement

https://arxiv.org/pdf/2012.08451.pdf

056  (2020-12-14) GAN Ensemble for Anomaly Detection

https://arxiv.org/pdf/2012.07988.pdf

057  (2020-12-14) Robust One Shot Audio to Video Generation

https://arxiv.org/pdf/2012.07842.pdf

058  (2020-11-29) Digital rock reconstruction with user-defined properties using conditional generative adversarial networks

https://arxiv.org/pdf/2012.07719.pdf

059  (2020-12-14) Multi Modal Adaptive Normalization for Audio to Video Generation

https://arxiv.org/pdf/2012.07304.pdf

060  (2020-12-14) Multi-SpectroGAN  High-Diversity and High-Fidelity Spectrogram Generation with Adversarial Style Combination for Speech Synthesis

https://arxiv.org/pdf/2012.07267.pdf

061  (2020-12-13) PoNA  Pose-guided Non-local Attention for Human Pose Transfer

https://arxiv.org/pdf/2012.07049.pdf

062  (2020-12-11) On Duality Gap as a Measure for Monitoring GAN Training

https://arxiv.org/pdf/2012.06723.pdf

063  (2020-12-11) Explainable machine learning of the underlying physics of high-energy particle collisions

https://arxiv.org/pdf/2012.06582.pdf

064  (2020-12-11) Analyzing and Improving Generative Adversarial Training for Generative Modeling and Out-of-Distribution Detection

https://arxiv.org/pdf/2012.06568.pdf

065  (2020-12-10) A Generative Approach for Detection-driven Underwater Image Enhancement

https://arxiv.org/pdf/2012.05990.pdf

066  (2020-12-15) Slimmable Generative Adversarial Networks

https://arxiv.org/pdf/2012.05660.pdf

067  (2020-12-10) HpGAN  Sequence Search with Generative Adversarial Networks

https://arxiv.org/pdf/2012.05645.pdf

068  (2020-12-9) Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation

https://arxiv.org/pdf/2012.05304.pdf

069  (2020-12-9) Generative Adversarial Networks for Annotated Data Augmentation in Data Sparse NLU

https://arxiv.org/pdf/2012.05302.pdf

070  (2020-12-10) MorphGAN  One-Shot Face Synthesis GAN for Detecting Recognition Bias

https://arxiv.org/pdf/2012.05225.pdf

071  (2020-12-9) Bad-Data Sequence Detection for Power System State Estimation via ICA-GAN

https://arxiv.org/pdf/2012.05163.pdf

072  (2020-12-9) Removing Class Imbalance using Polarity-GAN  An Uncertainty Sampling Approach

https://arxiv.org/pdf/2012.04937.pdf

073  (2020-12-8) Improving the Fairness of Deep Generative Models without Retraining

https://arxiv.org/pdf/2012.04842.pdf

074  (2020-12-8) You Only Need Adversarial Supervision for Semantic Image Synthesis

https://arxiv.org/pdf/2012.04781.pdf

075  (2020-12-8) GMM-Based Generative Adversarial Encoder Learning

https://arxiv.org/pdf/2012.04525.pdf

076  (2020-12-6) Privacy-Preserving Synthetic Smart Meters Data

https://arxiv.org/pdf/2012.04475.pdf

077  (2020-12-8) Data Instance Prior for Transfer Learning in GANs

https://arxiv.org/pdf/2012.04256.pdf

078  (2020-12-7) SuperFront  From Low-resolution to High-resolution Frontal Face Synthesis

https://arxiv.org/pdf/2012.04111.pdf

079  (2020-11-29) Overcoming Barriers to Data Sharing with Medical Image Generation  A Comprehensive Evaluation

https://arxiv.org/pdf/2012.03769.pdf

080  (2020-11-11) Generic Semi-Supervised Adversarial Subject Translation for Sensor-Based Human Activity Recognition

https://arxiv.org/pdf/2012.03682.pdf

081  (2020-12-7) Generative Adversarial Network based Heuristics for Sampling-based Path Planning

https://arxiv.org/pdf/2012.03490.pdf

082  (2020-12-7) PFA-GAN  Progressive Face Aging with Generative Adversarial Network

https://arxiv.org/pdf/2012.03459.pdf

083  (2020-12-7) Efficient Heuristic Generation for Robot Path Planning with Recurrent Generative Model

https://arxiv.org/pdf/2012.03449.pdf

084  (2020-12-9) Contrastive Divergence Learning is a Time Reversal Adversarial Game

https://arxiv.org/pdf/2012.03295.pdf

085  (2020-12-6) DGGAN  Depth-image Guided Generative Adversarial Networks for Disentangling RGB and Depth Images in 3D Hand Pose Estimation

https://arxiv.org/pdf/2012.03197.pdf

086  (2020-12-5) Adaptive Weighted Discriminator for Training Generative Adversarial Networks

https://arxiv.org/pdf/2012.03149.pdf

087  (2020-12-3) CIT-GAN  Cyclic Image Translation Generative Adversarial Network With Application in Iris Presentation Attack Detection

https://arxiv.org/pdf/2012.02374.pdf

088  (2020-12-3) Flow-based Deformation Guidance for Unpaired Multi-Contrast MRI Image-to-Image Translation

https://arxiv.org/pdf/2012.01777.pdf

089  (2020-12-1) pi-GAN  Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis

https://arxiv.org/pdf/2012.00926.pdf

090  (2020-12-2) A Framework and Dataset for Abstract Art Generation via CalligraphyGAN

https://arxiv.org/pdf/2012.00744.pdf

091  (2020-12-1) GLEAN  Generative Latent Bank for Large-Factor Image Super-Resolution

https://arxiv.org/pdf/2012.00739.pdf

092  (2020-12-1) Convergence and Sample Complexity of SGD in GANs

https://arxiv.org/pdf/2012.00732.pdf

093  (2020-12-1) CycleGAN without checkerboard artifacts for counter-forensics of fake-image detection

https://arxiv.org/pdf/2012.00287.pdf

094  (2020-11-30) Image Quality Assessment for Perceptual Image Restoration  A New Dataset Benchmark and Metric

https://arxiv.org/pdf/2011.15002.pdf

095  (2020-11-30) S2FGAN  Semantically Aware Interactive Sketch-to-Face Translation

https://arxiv.org/pdf/2011.14785.pdf

096  (2020-11-28) Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency

https://arxiv.org/pdf/2011.14272.pdf

097  (2021-01-5) Generalization and Memorization  The Bias Potential Model

https://arxiv.org/pdf/2011.14269.pdf

098  (2020-11-28) Hijack-GAN  Unintended-Use of Pretrained Black-Box GANs

https://arxiv.org/pdf/2011.14107.pdf

099  (2020-11-27) Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling

https://arxiv.org/pdf/2011.13816.pdf

100  (2020-12-1) Navigating the GAN Parameter Space for Semantic Image Editing

https://arxiv.org/pdf/2011.13786.pdf

**猜您喜欢：**

[**超100篇！CVPR 2020最全GAN论文梳理汇总！**][100_CVPR 2020_GAN]

[拆解组新的GAN：解耦表征MixNMatch][GAN_MixNMatch]

[StarGAN第2版：多域多样性图像生成][StarGAN_2]

[附下载 | 《可解释的机器学习》中文版][Link 1]

[附下载 |《TensorFlow 2.0 深度学习算法实战》][_TensorFlow 2.0]

[附下载 |《计算机视觉中的数学方法》分享][Link 2]

[《基于深度学习的表面缺陷检测方法综述》][Link 3]

[《零样本图像分类综述: 十年进展》][Link 4]

[《基于深度神经网络的少样本学习综述》][Link 5]

![format_png][]

[100_CVPR 2020_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a94cc95e205ae880cb9518cb16a54c0abde69e5a8654f7fedf70a0cc990775265bf28a1c&idx=1&mid=2247486455&scene=21&sn=94156f53845cdf07e859e343862be745#wechat_redirect
[2020_11_80_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29baa2c95e33b4a25278688305175a104710049f042257ecb7e894abc1a198b96aaf1055cb&idx=1&mid=2247489561&scene=21&sn=f8eb3c35a1399140ff788770284e824d#wechat_redirect
[2020_10_80_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29b717c95e3e0122436216ed7bffbf846e8b4a37184c6f49bc0bbd9983b9e4df2d7967afc5&idx=1&mid=2247488940&scene=21&sn=22dca69a5f770ecf4bf493f721170c97#wechat_redirect
[2020_9_70_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29b1abc95e38bd46d64213fa8e14eb994e5b4790524479186719f7e7cb296d652df3c9627a&idx=1&mid=2247488272&scene=21&sn=253384138dbadb8f1d0b152bdacd1756#wechat_redirect
[2020_8_60_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29b3f7c95e3ae1fd0202b706720609b25172b39c4537b9239b183d821c087b1554456f258a&idx=1&mid=2247487820&scene=21&sn=42ec4caf609e0d2b020eed339fedb50e#wechat_redirect
[2020_7_90_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29adf1c95e24e78176da9a6710df15a4993041a427256009f14f900b166990cbe117467eae&idx=1&mid=2247487306&scene=21&sn=53e13535dd887860d992620afb8a76f3#wechat_redirect
[2020_6_100_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29afb5c95e26a3e96632a4a71df52b8b8bf658063a7c444ccc27c241596d210451979d83fa&idx=1&mid=2247486734&scene=21&sn=0ef72f78298cd09b4829254225fdd085#wechat_redirect
[2020_5_60_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29aa13c95e2305dedfee48121c31ad3ee57bec663f69a920f59a02f374d0837476d50077af&idx=1&mid=2247485608&scene=21&sn=ae4353eded9e2f9bb5995bc5d64b71d1#wechat_redirect
[2020_4_70_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a7a2c95e2eb4b449130baf88f7481a10263f8d9f53d2c896bff465c4b8784002df98e61a&idx=1&mid=2247484697&scene=21&sn=26a30e1e9622ed87699d9ca35f63e989#wechat_redirect
[2020_3_90_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a14cc95e285a5a611a65de29a71a7c923db0f60e338d564a8351e760d5bf832858e6fc9d&idx=1&mid=2247484407&scene=21&sn=5aab537c008cdc0dfa536a494cf81cdc#wechat_redirect
[2020_2_50_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a190c95e2886597c6f85467f450c2b43381edcc68ce9b3bcccc8a54cf6747274f710cdfa&idx=1&mid=2247484203&scene=21&sn=42b4c58553f345195d59fd58dd8fa228#wechat_redirect
[2020_1_GAN]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a0dac95e29cc6801bc1a09be8853b370aefb59183947d0672e0989a4db2086d1dcaacf62&idx=1&mid=2247484001&scene=21&sn=a623d066459cb3dd01b6998da947fbc6#wechat_redirect
[GAN_MixNMatch]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29aaa9c95e23bf3131249a8d008ce3acdff7c52c7f6be84d92c6d607ca804b5ceb2a4222e3&idx=1&mid=2247485458&scene=21&sn=9f562c1de84dada67268f88c72ff77ff#wechat_redirect
[StarGAN_2]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29ab6ec95e22785abb2afbb2e2b1c95780a4d6bfceeb915118440b41a81769a8776dcc62b7&idx=1&mid=2247485909&scene=21&sn=048d1336b8083bac3755e27a1f968d06#wechat_redirect
[Link 1]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a4bac95e2dac758c4aac10a3aac49eb062bc0829d4ef2ebc8e6d5069d246385c5084a2b4&idx=1&mid=2247484929&scene=21&sn=523220858287ed3e6105919703c8e833#wechat_redirect
[_TensorFlow 2.0]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a5b0c95e2ca6599d4a91d5d40900566b7525de3dd85259e7a6c173aa26aa7ea3641d1aaf&idx=2&mid=2247485195&scene=21&sn=e3387067db29d1759755c6c2ea96c870#wechat_redirect
[Link 2]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29aa8fc95e23993e057fb0dbe09f2810ea07184a439c173f404a7ab657cadcde3d24efa52a&idx=2&mid=2247485492&scene=21&sn=c4fb135de02cd52f06bc61b0e79476e4#wechat_redirect
[Link 3]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29aa8fc95e2399a93dae3af3b13626643b18cf42842d1a7ada0de46486fa8b865aa2421d2f&idx=1&mid=2247485492&scene=21&sn=6f8af433521b5fee5aceab62e0111115#wechat_redirect
[Link 4]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a44fc95e2d597fc88ca7f10cae079f821deedb6f93b10f0985aa8f6f7c06e369d716f785&idx=1&mid=2247485172&scene=21&sn=f65b58ed3b4c1d09163271069dce4738#wechat_redirect
[Link 5]: http://mp.weixin.qq.com/s?__biz=MzU5MTgzNzE0MA%3D%3D&chksm=fe29a7e6c95e2ef0a6649c0c904fa28b61b4ac76774df4acdce8fff3a909369c7c2f8d22a4b5&idx=1&mid=2247484765&scene=21&sn=b1b9a9ef6c923abad6cf38364105264c#wechat_redirect
[format_png]: /images/20221119/4980a933066147d3b2edee30513083b6.png