AI with Papers - Artificial Intelligence & Deep Learning
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All the AI with papers. Every day fresh updates on Deep Learning, Machine Learning, and Computer Vision (with Papers).

Curated by Alessandro Ferrari | https://www.linkedin.com/in/visionarynet/
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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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๐Ÿ”ฅ E2POSE: code is out! ๐Ÿ”ฅ

๐Ÿ‘‰E2Pose: fully convolutional networks for e2e multi-person pose estimation

๐Ÿ˜ŽReview https://bit.ly/3WelGsP
๐Ÿ˜ŽCode github.com/AISIN-TRC/E2Pose
๐Ÿ˜ŽTutorial cedro3.com/ai/e2pose/
๐Ÿ˜ŽPaper, not yet ๐Ÿคทโ€โ™‚๏ธ
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๐Ÿง™Distortion-Aware Neural Selection ๐Ÿง™

๐Ÿ‘‰#Adobe unveils a novel method for interactive workflows used for decaling, texturing, or painting on surfaces

๐Ÿ˜ŽReview https://bit.ly/3uSou3b
๐Ÿ˜ŽProject threedle.github.io/DA-Wand
๐Ÿ˜ŽPaper https://drive.google.com/file/d/1OkGwIPQb9RUeT5aw-X_tdBAPG0bB4dNQ/view
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๐Ÿ”ฅ GhostNetV2: Pure Neural Fire! ๐Ÿ”ฅ

๐Ÿ‘‰ Novel HW-friendly attention & GhostNetV2 for mobile. Top-1 with only 167M FLOPs

๐Ÿ˜ŽReview https://bit.ly/3j2EIUJ
๐Ÿ˜ŽPaper arxiv.org/pdf/2211.12905.pdf
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๐Ÿงฒ MAGVIT: 250x Faster Transformer ๐Ÿงฒ

๐Ÿ‘‰MAGVIT: ONE model -> 10+ video synthesis tasks!

๐Ÿ˜ŽReview https://bit.ly/3FX2P09
๐Ÿ˜ŽProject magvit.cs.cmu.edu/
๐Ÿ˜ŽPaper arxiv.org/pdf/2212.05199.pdf
๐Ÿ˜ŽCode github.com/MAGVIT/magvit
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๐ŸŽฏ MOTRv2: Tracking by Pretrained Model ๐ŸŽฏ

๐Ÿ‘‰MOTRv2: e2e multi-object tracking with pretrained detector

๐Ÿ˜ŽReview https://bit.ly/3UYzvdN
๐Ÿ˜ŽPaper arxiv.org/pdf/2211.09791.pdf
๐Ÿ˜ŽCode github.com/megvii-research/MOTRv2
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โ˜” ECON: Explicit Clothed #Avatars โ˜”

๐Ÿ‘‰ECON: high-fidelity 3D humans even in loose clothes and challenging poses

๐Ÿ˜ŽReview https://bit.ly/3W21Wsu
๐Ÿ˜ŽPaper arxiv.org/pdf/2212.07422.pdf
๐Ÿ˜ŽProject https://xiuyuliang.cn/econ/
๐Ÿ˜ŽCode https://github.com/YuliangXiu/ECON
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๐ŸŸฅ 3DHumanGAN: 3D Humans ๐ŸŸฅ

๐Ÿ‘‰ The first ever 3D-aware GAN for full-body humans is out!

๐Ÿ˜ŽReview https://bit.ly/3V07QJE
๐Ÿ˜ŽPaper arxiv.org/pdf/2212.07378.pdf
๐Ÿ˜ŽCode 3dhumangan.github.io/
๐Ÿ˜ŽProject github.com/3dhumangan/3DHumanGAN
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๐Ÿ” DifFace: Super-Face Restoration ๐Ÿ”

๐Ÿ‘‰The new SOTA face restoration in severe-degradation photos

๐Ÿ˜ŽReview https://bit.ly/3YqCsXr
๐Ÿ˜ŽPaper arxiv.org/pdf/2212.06512.pdf
๐Ÿ˜ŽCode github.com/zsyOAOA/DifFace
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๐Ÿ”ฅDRAMA of the week: ARTIST vs.#AI ART๐Ÿ”ฅ

๐Ÿ‘‰Generative AI is changing forever (again) how we create images, video and music. Progress brings conflict.

Let's talk: https://bit.ly/3BHOUIN
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๐Ÿ–ผ๏ธ PV3D: Generative Portrait Video ๐Ÿ–ผ๏ธ

๐Ÿ‘‰ PV3D: first generative #AI for multi-view consistent portrait videos

๐Ÿ˜ŽReview https://bit.ly/3W5l5dn
๐Ÿ˜ŽProject showlab.github.io/pv3d/
๐Ÿ˜ŽPaper arxiv.org/pdf/2212.06384.pdf
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๐ŸœInsane Neural Asset by #META ๐Ÿœ

๐Ÿ‘‰DiffRF: novel 3D radiance field synthesis based on denoising diffusion

๐Ÿ˜ŽReview https://bit.ly/3V5Daqo
๐Ÿ˜ŽProject sirwyver.github.io/DiffRF/
๐Ÿ˜ŽPaper arxiv.org/pdf/2212.01206.pdf
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๐ŸŽธ RIFFUSION: #AI that sounds! ๐ŸŽธ

๐Ÿ‘‰RIFFUSION: real-time music generation via spectrograms created with #stablediffusion

๐Ÿ˜ŽReview https://bit.ly/3GcOtcd
๐Ÿ˜ŽProject www.riffusion.com/about
๐Ÿ˜ŽApp https://www.riffusion.com/
๐Ÿ˜ŽCode github.com/riffusion/riffusion-inference
๐Ÿ˜ŽModel huggingface.co/riffusion/riffusion-model-v1
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