AI with Papers - Artificial Intelligence & Deep Learning
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All the AI with papers. Every day fresh updates about #DeepLearning, #MachineLearning, LLMs and #ComputerVision

Curated by Alessandro Ferrari | https://www.linkedin.com/in/visionarynet/

#artificialintelligence #machinelearning #ml #AI
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๐Ÿš— 3DDesigner: Text-guided Diffusion ๐Ÿš—

๐Ÿ‘‰Novel method to generate #3D fine-grained objects via textual diffusion

๐Ÿ˜ŽReview https://bit.ly/3Fbmyc1
๐Ÿ˜ŽProject 3ddesigner-diffusion.github.io/
๐Ÿ˜ŽPaper arxiv.org/pdf/2211.14108.pdf
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๐ŸงจFast-SNARF: 150ร— faster NeRF๐Ÿงจ

๐Ÿ‘‰Voxel-based, pre-computed skinning, #cuda kernels -> avatar 150x faster!

๐Ÿ˜ŽReview https://bit.ly/3OMvEPo
๐Ÿ˜ŽCode github.com/xuchen-ethz/fast-snarf
๐Ÿ˜ŽPaper dataset.ait.ethz.ch/downloads/fast-snarf/paper.pdf
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๐Ÿ”ฅ#AIwithPapers: we are 5,200+!๐Ÿ”ฅ

๐Ÿ‘‰ Me (and you, all), these days (audio ON)๐Ÿคฃ

๐Ÿ˜ˆ Share -> https://bit.ly/3VBGN7Y
๐Ÿ˜ˆ Invite friends -> https://t.iss.one/AI_DeepLearning
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๐Ÿ”ฅ๐Ÿ”ฅ Distilled #StableDiffusion paper! ๐Ÿ”ฅ๐Ÿ”ฅ

๐Ÿ‘‰The progress with #StableDiffusion at #neurips2022 conference. Crazy times!

๐Ÿ˜ŽReview https://bit.ly/3ESo5Cn
๐Ÿ˜ŽPaper arxiv.org/pdf/2210.03142.pdf
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๐Ÿ’Ž SJC: from 2D -> #3D generation ๐Ÿ’Ž

๐Ÿ‘‰ Novel method to convert pretrained 2D diffusion into 3D generative mode

๐Ÿ˜ŽReview https://bit.ly/3UppHJx
๐Ÿ˜ŽPaper arxiv.org/pdf/2212.00774.pdf
๐Ÿ˜ŽCode github.com/pals-ttic/sjc
๐Ÿ˜ŽProject pals.ttic.edu/p/score-jacobian-chaining
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๐Ÿคช Just another ORDINARY week in #AI community ๐Ÿคช

๐Ÿ˜ˆ Let's talk -> https://bit.ly/3VsEfth
๐Ÿ˜ˆ Invite friends -> https://t.iss.one/AI_DeepLearning
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Should I write a book (no technicalities, for everyone) about the evolution of the modern Computer Vision / AI ?
Anonymous Poll
81%
Yes, please!๐Ÿงก
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๐ŸŽจ Dr.3D: adapting 3D GANs to Arts ๐ŸŽจ

๐Ÿ‘‰Novel 3D GAN domain adaptation method for drawings. From portraits to 3D!

๐Ÿ˜ŽReview https://bit.ly/3He3Phv
๐Ÿ˜ŽPaper arxiv.org/pdf/2211.16798.pdf
๐Ÿ˜ŽProject jinwonjoon.github.io/dr3d/
๐Ÿ˜ŽCode github.com/JinWonjoon/Dr.3D
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๐Ÿซ Tracking EVERYTHING in the wild ๐Ÿซ

๐Ÿ‘‰Disentangling classification from tracking, Track Every Thing Accuracy (TETA) for SOTA

๐Ÿ˜ŽReview https://bit.ly/3F2rfU7
๐Ÿ˜ŽPaper arxiv.org/pdf/2207.12978.pdf
๐Ÿ˜ŽProject www.vis.xyz/pub/tet/
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๐Ÿ‘ฝHD Faces via "Hacked" Smartphone๐Ÿ‘ฝ

๐Ÿ‘‰A novel method for HD faces from (polarizing-foils) smartphones

๐Ÿ˜ŽReview https://bit.ly/3H8yhJN
๐Ÿ˜ŽPaper arxiv.org/pdf/2212.01160.pdf
๐Ÿ˜ŽProject dazinovic.github.io/polface
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๐Ÿ’Ž Clothes-Changing Re-Identification ๐Ÿ’Ž

๐Ÿ‘‰The new SOTA in wild Re-identification by mixing appearance & face features

๐Ÿ˜ŽReview https://bit.ly/3HdTTUU
๐Ÿ˜ŽPaper arxiv.org/pdf/2211.13807.pdf
๐Ÿ˜ŽProject www.vision.huji.ac.il/reface
๐Ÿ˜ŽCode github.com/bar371/ReFace
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๐Ÿ‘˜ SOTA: One-Shot Animatable Avatars ๐Ÿ‘˜

๐Ÿ‘‰ELICIT: synthesis & avatar animation -> NeRF representation in one-shot

๐Ÿ˜ŽReview https://bit.ly/3P3eZY6
๐Ÿ˜ŽPaper arxiv.org/pdf/2212.02469.pdf
๐Ÿ˜ŽProject https://elicit3d.github.io/
๐Ÿ˜ŽCode github.com/huangyangyi/ELICIT
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๐Ÿธ RANA: Neural Avatar by #Nvidia ๐Ÿธ

๐Ÿ‘‰Neural humans under arbitrary viewpoints, body poses & lighting

๐Ÿ˜ŽReview https://bit.ly/3iIYOTP
๐Ÿ˜ŽPaper arxiv.org/pdf/2212.03237.pdf
๐Ÿ˜ŽProject nvlabs.github.io/RANA
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๐ŸงฐUDE: Unified Human Motion Generation๐Ÿงฐ

๐Ÿ‘‰The first unified human motion from Text or Audio. Audio ON, New SOTA.

๐Ÿ˜ŽReview https://bit.ly/3HjWsVN
๐Ÿ˜ŽPaper arxiv.org/pdf/2211.16016.pdf
๐Ÿ˜ŽProject zixiangzhou916.github.io/UDE
๐Ÿ˜ŽCode github.com/zixiangzhou916/UDE
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๐Ÿ”ฅ #StableDiffusion 2.1 is out! ๐Ÿ”ฅ

๐Ÿ‘‰Stability.ai releases Stable Diffusion v2.1 and DreamStudio-Updates_7-Dec 22.

๐Ÿ˜ŽReview https://bit.ly/3Y49898
๐Ÿ˜ŽCode github.com/Stability-AI/stablediffusion
๐Ÿ˜ŽBlog stability.ai/blog/stablediffusion2-1-release7-dec-2022
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๐Ÿช‚ Fast Neural Deferred Shading ๐Ÿช‚

๐Ÿ‘‰Novel fast multi-view 3D reconstruction with arbitrary materials & light

๐Ÿ˜ŽReview https://bit.ly/3Brs9bY
๐Ÿ˜ŽProject fraunhoferhhi.github.io/neural-deferred-shading
๐Ÿ˜ŽCode github.com/fraunhoferhhi/neural-deferred-shading
๐Ÿ˜ŽPaper mworchel.github.io/assets/papers/neural_deferred_shading_with_supp.pdf
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๐Ÿฆ„ #3D Human Motion from Speech ๐Ÿฆ„

๐Ÿ‘‰The new SOTA in generating 3D holistic body motions from human speech

๐Ÿ˜ŽReview https://bit.ly/3W59RVB
๐Ÿ˜ŽProject talkshow.is.tue.mpg.de/
๐Ÿ˜ŽPaper arxiv.org/pdf/2212.04420.pdf
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๐Ÿ’Ž4K-NeRF: Ultra High Resolution NeRF๐Ÿ’Ž

๐Ÿ‘‰Alibaba unveils the novel SOTA in Ultra High Resolution NeRF -> Up to 4K!

๐Ÿ˜ŽReview https://bit.ly/3hh3YGj
๐Ÿ˜ŽCode github.com/frozoul/4K-NeRF
๐Ÿ˜ŽPaper arxiv.org/pdf/2212.04701.pdf
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๐Ÿ‘๏ธ Eye Tracking: the Tear Film Lipid ๐Ÿ‘๏ธ

๐Ÿ‘‰ Berkeley unveils a novel approach for DED, fully CV-based

๐Ÿ˜ŽReview https://bit.ly/3FndGyY
๐Ÿ˜ŽProject easytear-dev.github.io/
๐Ÿ˜ŽPaper arxiv.org/pdf/2212.03450.pdf
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๐Ÿฒ Neural Rendering from Web Images ๐Ÿฒ

๐Ÿ‘‰Snap opens the novel SOTA in neural rendering from online image collections

๐Ÿ˜ŽReview https://bit.ly/3VPOjwy
๐Ÿ˜ŽProject formyfamily.github.io/NeROIC/
๐Ÿ˜ŽPaper arxiv.org/pdf/2201.02533.pdf
๐Ÿ˜ŽCode github.com/snap-research/NeROIC
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