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          2021年刷屏的40篇AI論文!大匯總

          共 8800字,需瀏覽 18分鐘

           ·

          2021-12-29 11:10




          來(lái)源:公眾號(hào)?機(jī)器之心?授權(quán)


          2021即將結(jié)束了,你今年讀了多少論文?


          雖然世界仍在從新冠疫情的破壞中復(fù)蘇,人們無(wú)法向從前那樣時(shí)常線下相聚、共同探討交流關(guān)于學(xué)術(shù)領(lǐng)域的最新問(wèn)題,但AI研究也沒(méi)有停下躍進(jìn)的步伐。

          轉(zhuǎn)眼就是2021年底了,一年就這么就過(guò)去了,時(shí)光好像被偷走一樣。細(xì)細(xì)數(shù)來(lái),你今年讀了多少論文?

          一名加拿大博主Louis Bouchard以發(fā)布時(shí)間為順序,整理出了近40篇2021年不可錯(cuò)過(guò)的優(yōu)秀論文。整體來(lái)看,合集中的論文偏重計(jì)算機(jī)視覺(jué)方向。

          在這個(gè)15分鐘左右的視頻中,你可以快速瀏覽這些論文:


          以下是每篇論文的詳細(xì)信息:

          1、DALL·E: Zero-Shot Text-to-Image Generation from OpenAI


          論文鏈接:https://arxiv.org/pdf/2102.12092.pdf

          代碼地址:https://github.com/openai/DALL-E

          視頻解讀:https://youtu.be/DJToDLBPovg

          2、VOGUE: Try-On by StyleGAN Interpolation Optimization


          論文鏈接:https://vogue-try-on.github.io/static_files/resources/VOGUE-virtual-try-on.pdf

          視頻解讀:https://youtu.be/i4MnLJGZbaM


          3、Taming Transformers for High-Resolution Image Synthesis


          鏈接:https://compvis.github.io/taming-transformers/

          代碼地址:https://github.com/CompVis/taming-transformers

          視頻解讀:https://youtu.be/JfUTd8fjtX8


          4、Thinking Fast And Slow in AI



          論文鏈接:https://arxiv.org/abs/2010.06002

          視頻解讀:https://youtu.be/3nvAaVSQxs4


          5、Automatic detection and quantification of floating marine macro-litter in aerial images


          論文鏈接:https://doi.org/10.1016/j.envpol.2021.116490
          代碼地址:https://github.com/amonleong/MARLIT
          視頻解讀:https://youtu.be/2dTSsdW0WYI

          6、ShaRF: Shape-conditioned Radiance Fields from a Single View



          論文鏈接:https://arxiv.org/abs/2102.08860
          代碼地址:http://www.krematas.com/sharf/index.html
          視頻解讀:https://youtu.be/gHkkrNMlGNg

          7、Generative Adversarial Transformers



          論文鏈接:https://arxiv.org/pdf/2103.01209.pdf
          代碼地址:https://github.com/dorarad/gansformer
          視頻解讀:https://youtu.be/HO-_t0UArd4

          8、We Asked Artificial Intelligence to Create Dating Profiles. Would You Swipe Right?

          論文鏈接:https://studyonline.unsw.edu.au/blog/ai-generated-dating-profile
          代碼地址:https://colab.research.google.com/drive/1VLG8e7YSEwypxU-noRNhsv5dW4NfTGce#forceEdit=true&sandboxMode=true&scrollTo=aeXshJM-Cuaf
          視頻解讀:https://youtu.be/IoRH5u13P-4

          9、Swin Transformer: Hierarchical Vision Transformer using Shifted Windows?



          論文鏈接:https://arxiv.org/abs/2103.14030v2
          代碼地址:https://github.com/microsoft/Swin-Transformer
          視頻解讀:https://youtu.be/QcCJJOLCeJQ

          10、IMAGE GANS MEET DIFFERENTIABLE RENDERING FOR INVERSE GRAPHICS AND INTERPRETABLE 3D NEURAL RENDERING



          論文鏈接:https://arxiv.org/pdf/2010.09125.pdf
          視頻解讀:https://youtu.be/dvjwRBZ3Hnw

          11、Deep nets: What have they ever done for vision?



          論文鏈接:https://arxiv.org/abs/1805.04025
          視頻解讀:https://youtu.be/GhPDNzAVNDk

          12、Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image


          論文鏈接:https://arxiv.org/pdf/2012.09855.pdf
          代碼地址:https://github.com/google-research/google-research/tree/master/infinite_nature
          視頻解讀:https://youtu.be/NIOt1HLV_Mo
          在線試用:https://colab.research.google.com/github/google-research/google-research/blob/master/infinite_nature/infinite_nature_demo.ipynb#scrollTo=sCuRX1liUEVM

          13、Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control



          論文鏈接:https://arxiv.org/abs/2103.13452
          視頻解讀:https://youtu.be/wNBrCRzlbVw

          14、Total Relighting: Learning to Relight Portraits for Background Replacement



          論文鏈接:https://augmentedperception.github.io/total_relighting/total_relighting_paper.pdf
          視頻解讀:https://youtu.be/rVP2tcF_yRI

          15、LASR: Learning Articulated Shape Reconstruction from a Monocular Video?



          論文鏈接:https://openaccess.thecvf.com/content/CVPR2021/papers/Yang_LASR_Learning_Articulated_Shape_Reconstruction_From_a_Monocular_Video_CVPR_2021_paper.pdf
          代碼地址:https://github.com/google/lasr
          視頻解讀:https://youtu.be/lac7wqjS-8E

          16、Enhancing Photorealism Enhancement



          論文鏈接:http://vladlen.info/papers/EPE.pdf
          代碼地址:https://github.com/isl-org/PhotorealismEnhancement
          視頻解讀:https://youtu.be/3rYosbwXm1w

          17、DefakeHop: A Light-Weight High-Performance Deepfake Detector



          論文鏈接:https://arxiv.org/abs/2103.06929
          視頻解讀:https://youtu.be/YMir8sRWRos

          18、High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network



          論文鏈接:https://arxiv.org/pdf/2105.09188.pdf
          代碼地址:https://github.com/csjliang/LPTN
          視頻解讀:https://youtu.be/X7WzlAyUGPo

          19、Barbershop: GAN-based Image Compositing using Segmentation Masks



          論文鏈接:https://arxiv.org/pdf/2106.01505.pdf
          代碼地址:https://github.com/ZPdesu/Barbershop
          視頻解讀:https://youtu.be/HtqYMvBVJD8

          20、TextStyleBrush: Transfer of text aesthetics from a single example


          論文鏈接:https://arxiv.org/abs/2106.08385
          代碼地址:https://github.com/facebookresearch/IMGUR5K-Handwriting-Dataset?fbclid=IwAR0pRAxhf8Vg-5H3fA0BEaRrMeD21HfoCJ-so8V0qmWK7Ub21dvy_jqgiVo
          視頻解讀:https://youtu.be/hhAri5fl-XI

          21、Animating Pictures with Eulerian Motion Fields



          論文鏈接:https://arxiv.org/abs/2011.15128
          代碼地址:https://eulerian.cs.washington.edu/
          視頻解讀:https://youtu.be/KgTa2r7d0I0

          22、CVPR 2021 Best Paper Award: GIRAFFE - Controllable Image Generation



          論文鏈接:http://www.cvlibs.net/publications/Niemeyer2021CVPR.pdf
          代碼地址:https://github.com/autonomousvision/giraffe
          視頻解讀:https://youtu.be/JIJkURAkCxM

          23、GitHub Copilot & Codex: Evaluating Large Language Models Trained on Code



          論文鏈接:https://arxiv.org/pdf/2107.03374.pdf
          代碼地址:https://copilot.github.com/
          視頻解讀:https://youtu.be/az3oVVkTFB8

          24、Apple: Recognizing People in Photos Through Private On-Device Machine Learning



          論文鏈接:https://machinelearning.apple.com/research/recognizing-people-photos
          視頻解讀:https://youtu.be/LIV-M-gFRFA

          25、Image Synthesis and Editing with Stochastic Differential Equations



          論文鏈接:https://arxiv.org/pdf/2108.01073.pdf
          代碼地址:https://github.com/ermongroup/SDEdit
          視頻解讀:https://youtu.be/xoEkSWJSm1k
          https://colab.research.google.com/drive/1KkLS53PndXKQpPlS1iK-k1nRQYmlb4aO?usp=sharing

          26、Sketch Your Own GAN




          論文鏈接:https://arxiv.org/abs/2108.02774
          代碼地址:https://github.com/PeterWang512/GANSketching
          視頻解讀:https://youtu.be/vz_wEQkTLk0

          27、Tesla's Autopilot Explained

          在今年8月的特斯拉AI日上,特斯拉AI總監(jiān)Andrej Karpathy和其他人展示了特斯拉是如何通過(guò)八個(gè)攝像頭采集圖像,打造了基于視覺(jué)的自動(dòng)駕駛系統(tǒng)。



          視頻解讀:https://youtu.be/DTHqgDqkIRw

          28、Styleclip: Text-driven manipulation of StyleGAN imagery



          論文鏈接:https://arxiv.org/abs/2103.17249
          代碼地址:https://github.com/orpatashnik/StyleCLIP
          視頻解讀:https://youtu.be/RAXrwPskNso
          https://colab.research.google.com/github/orpatashnik/StyleCLIP/blob/main/notebooks/StyleCLIP_global.ipynb

          29、TimeLens: Event-based Video Frame Interpolation



          論文鏈接:http://rpg.ifi.uzh.ch/docs/CVPR21_Gehrig.pdf
          代碼地址:https://github.com/uzh-rpg/rpg_timelens
          視頻解讀:https://youtu.be/HWA0yVXYRlk

          30、Diverse Generation from a Single Video Made Possible




          論文鏈接:https://arxiv.org/abs/2109.08591
          代碼地址:https://nivha.github.io/vgpnn/
          視頻解讀:https://youtu.be/Uy8yKPEi1dg

          31、Skillful Precipitation Nowcasting using Deep Generative Models of Radar



          論文鏈接:https://www.nature.com/articles/s41586-021-03854-z
          代碼地址:https://github.com/deepmind/deepmind-research/tree/master/nowcasting
          視頻解讀:https://youtu.be/dlSIq64psEY

          32、The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks



          論文鏈接:https://arxiv.org/pdf/2110.09958.pdf
          代碼地址:https://cocktail-fork.github.io/
          視頻解讀:https://youtu.be/Rpxufqt5r6I

          33、ADOP: Approximate Differentiable One-Pixel Point Rendering



          論文鏈接:https://arxiv.org/pdf/2110.06635.pdf
          代碼地址:https://github.com/darglein/ADOP
          視頻解讀:https://youtu.be/Jfph7Vld_Nw

          34、(Style)CLIPDraw: Coupling Content and Style in Text-to-Drawing Synthesis ? ?



          CLIPDraw論文鏈接:https://arxiv.org/abs/2106.14843
          在線試用:https://colab.research.google.com/github/kvfrans/clipdraw/blob/main/clipdraw.ipynb




          StyleCLIPDraw論文鏈接:https://arxiv.org/abs/2111.03133
          在線試用:https://colab.research.google.com/github/pschaldenbrand/StyleCLIPDraw/blob/master/Style_ClipDraw.ipynb

          視頻解讀:https://youtu.be/5xzcIzHm8Wo

          35、SwinIR: Image restoration using swin transformer



          論文鏈接:https://arxiv.org/abs/2108.10257
          代碼地址:https://github.com/JingyunLiang/SwinIR
          視頻解讀:https://youtu.be/GFm3RfrtDoU
          https://replicate.ai/jingyunliang/swinir

          36、EditGAN: High-Precision Semantic Image Editing



          論文鏈接:https://arxiv.org/abs/2111.03186
          代碼地址:https://nv-tlabs.github.io/editGAN/
          視頻解讀:https://youtu.be/bus4OGyMQec

          37、CityNeRF: Building NeRF at City Scale




          論文鏈接:https://arxiv.org/pdf/2112.05504.pdf
          代碼地址:https://city-super.github.io/citynerf/
          視頻解讀:https://youtu.be/swfx0bJMIlY

          38、ClipCap: CLIP Prefix for Image Captioning



          論文鏈接:https://arxiv.org/abs/2111.09734
          代碼地址:https://github.com/rmokady/CLIP_prefix_caption
          視頻解讀:https://youtu.be/VQDrmuccWDo
          在線試用:https://colab.research.google.com/drive/1tuoAC5F4sC7qid56Z0ap-stR3rwdk0ZV?usp=sharing


          當(dāng)然,博主在整理的過(guò)程中也不能保證完美。經(jīng)網(wǎng)友提醒,這里可以手動(dòng)添加一項(xiàng)突破性研究:「AlphaFold」。



          去年,谷歌旗下人工智能技術(shù)公司 DeepMind 宣布深度學(xué)習(xí)算法「Alphafold」破解了出現(xiàn)五十年之久的蛋白質(zhì)分子折疊問(wèn)題。2021年7月,AlphaFold 的論文正式發(fā)表在《Nature》雜志上。




          論文鏈接:https://www.nature.com/articles/s41586-021-03819-2

          這項(xiàng)研究被評(píng)為Nature年度技術(shù)突破,Alphafold 的締造者之一 John Jumper 也被評(píng)為《Nature》2021 年度十大科學(xué)人物。DeepMind也已經(jīng)將他們的預(yù)測(cè)結(jié)果免費(fèi)開(kāi)放給公眾。

          對(duì)于你來(lái)說(shuō),2021年最令人印象深刻的論文又是哪篇呢?

          原文鏈接:https://www.louisbouchard.ai/2021-ai-papers-review/


          努力分享優(yōu)質(zhì)的計(jì)算機(jī)視覺(jué)相關(guān)內(nèi)容,歡迎關(guān)注:

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