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πΉ Perceptual NeRF-Inpainting πΉ
πA novel complete process for #3D scene manipulation powered by NeRF
πReview https://bit.ly/3Vn0EaT
πPaper arxiv.org/pdf/2211.12254.pdf
πProject spinnerf3d.github.io
πA novel complete process for #3D scene manipulation powered by NeRF
πReview https://bit.ly/3Vn0EaT
πPaper arxiv.org/pdf/2211.12254.pdf
πProject spinnerf3d.github.io
π5π₯3πΎ1
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π₯ Stable Diffusion 2.0 is out! π₯
πThe open-source of #StableDiffusion V2 just released. Magic π€―
πReview https://bit.ly/3XwGInO
πCode github.com/Stability-AI/stablediffusion
πBlog stability.ai/blog/stable-diffusion-v2-release
πThe open-source of #StableDiffusion V2 just released. Magic π€―
πReview https://bit.ly/3XwGInO
πCode github.com/Stability-AI/stablediffusion
πBlog stability.ai/blog/stable-diffusion-v2-release
π€―17π8πΎ4β‘3π±3π1
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π₯MineDojo: Agents at Internet-Scaleπ₯
πThe #neurips2022 Outstanding Paper Award winner is out. By #Nvidia et al.
πReview https://bit.ly/3F0RPhN
πProject https://minedojo.org/
πPaper arxiv.org/pdf/2206.08853.pdf
πCode github.com/MineDojo/MineDojo
πThe #neurips2022 Outstanding Paper Award winner is out. By #Nvidia et al.
πReview https://bit.ly/3F0RPhN
πProject https://minedojo.org/
πPaper arxiv.org/pdf/2206.08853.pdf
πCode github.com/MineDojo/MineDojo
π₯10π€©1
AI with Papers - Artificial Intelligence & Deep Learning
π· Pix2Seq: object detection by #Google π· πA novel framework to perform object detection as a language modeling task ππ’π π‘π₯π’π π‘ππ¬: β
Obj. detection as a lang-modeling task β
BBs/labels -> seq. of discrete token β
Encoder-decoder (one token at a time) β
Code underβ¦
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β‘4π₯°2π1π±1
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π« Tracking in Motion-Blurred Clips π«
πRobust line segment detector in motion-blurred clips -> #SLAM / #3D.
πReview https://bit.ly/3F2wHrb
πPaper arxiv.org/pdf/2211.07365.pdf
πProject levenberg.github.io/FE-LSD/
πCode github.com/lh9171338/FE-LSD
πRobust line segment detector in motion-blurred clips -> #SLAM / #3D.
πReview https://bit.ly/3F2wHrb
πPaper arxiv.org/pdf/2211.07365.pdf
πProject levenberg.github.io/FE-LSD/
πCode github.com/lh9171338/FE-LSD
π€―5π2π₯2β‘1
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πEDGE: Diffusive Dancers Generatorπ
πNew SOTA in editable human-dancer generation according to the input music
πReview https://bit.ly/3u2egfY
πPaper arxiv.org/pdf/2211.10658.pdf
πProject edge-dance.github.io/
πNew SOTA in editable human-dancer generation according to the input music
πReview https://bit.ly/3u2egfY
πPaper arxiv.org/pdf/2211.10658.pdf
πProject edge-dance.github.io/
β€8π€©2π€―1
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π₯¬ Diffusive Sketch-Guided Text-to-Image π₯¬
π#Google unveils a universal approach for T2I (pre-trained) diffusion: free-hand, saliency-guided, etc.
πReview https://bit.ly/3XFVMj2
πProject sketch-guided-diffusion.github.io/
πPaper sketch-guided-diffusion.github.io/files/sketch-guided-preprint.pdf
π#Google unveils a universal approach for T2I (pre-trained) diffusion: free-hand, saliency-guided, etc.
πReview https://bit.ly/3XFVMj2
πProject sketch-guided-diffusion.github.io/
πPaper sketch-guided-diffusion.github.io/files/sketch-guided-preprint.pdf
π€―4β‘1β€1π1π₯1π₯°1
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π SpaText: Spatio-Textual Generation π
π#META AI unveils a novel T2I using open-vocabulary scene control
πReview https://bit.ly/3OKcdXz
πProject omriavrahami.com/spatext/
πPaper arxiv.org/pdf/2211.14305.pdf
πCode (coming)
π#META AI unveils a novel T2I using open-vocabulary scene control
πReview https://bit.ly/3OKcdXz
πProject omriavrahami.com/spatext/
πPaper arxiv.org/pdf/2211.14305.pdf
πCode (coming)
π€―7π±2β€1π₯1π€©1
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π‘Diffusive Generation/Inpainting/Reconstructionπ‘
πThe first 3D-aware diffusion model purely trained from 2D images only
πReview https://bit.ly/3XyHyjY
πPaper arxiv.org/pdf/2211.09869.pdf
πCode github.com/Anciukevicius/RenderDiffusion
πThe first 3D-aware diffusion model purely trained from 2D images only
πReview https://bit.ly/3XyHyjY
πPaper arxiv.org/pdf/2211.09869.pdf
πCode github.com/Anciukevicius/RenderDiffusion
β€5π2π₯1
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π 3DDesigner: Text-guided Diffusion π
πNovel method to generate #3D fine-grained objects via textual diffusion
πReview https://bit.ly/3Fbmyc1
πProject 3ddesigner-diffusion.github.io/
πPaper arxiv.org/pdf/2211.14108.pdf
πNovel method to generate #3D fine-grained objects via textual diffusion
πReview https://bit.ly/3Fbmyc1
πProject 3ddesigner-diffusion.github.io/
πPaper arxiv.org/pdf/2211.14108.pdf
π₯8π2π€―1
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π§¨Fast-SNARF: 150Γ faster NeRFπ§¨
πVoxel-based, pre-computed skinning, #cuda kernels -> avatar 150x faster!
πReview https://bit.ly/3OMvEPo
πCode github.com/xuchen-ethz/fast-snarf
πPaper dataset.ait.ethz.ch/downloads/fast-snarf/paper.pdf
πVoxel-based, pre-computed skinning, #cuda kernels -> avatar 150x faster!
πReview https://bit.ly/3OMvEPo
πCode github.com/xuchen-ethz/fast-snarf
πPaper dataset.ait.ethz.ch/downloads/fast-snarf/paper.pdf
π₯7π€©1
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π₯#AIwithPapers: we are 5,200+!π₯
π Me (and you, all), these days (audio ON)π€£
π Share -> https://bit.ly/3VBGN7Y
π Invite friends -> https://t.me/AI_DeepLearning
π Me (and you, all), these days (audio ON)π€£
π Share -> https://bit.ly/3VBGN7Y
π Invite friends -> https://t.me/AI_DeepLearning
π₯°7π€£5π€©2π±1
π₯π₯ Distilled #StableDiffusion paper! π₯π₯
πThe progress with #StableDiffusion at #neurips2022 conference. Crazy times!
πReview https://bit.ly/3ESo5Cn
πPaper arxiv.org/pdf/2210.03142.pdf
πThe progress with #StableDiffusion at #neurips2022 conference. Crazy times!
πReview https://bit.ly/3ESo5Cn
πPaper arxiv.org/pdf/2210.03142.pdf
π18π€―3π₯1
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π SJC: from 2D -> #3D generation π
π Novel method to convert pretrained 2D diffusion into 3D generative mode
πReview https://bit.ly/3UppHJx
πPaper arxiv.org/pdf/2212.00774.pdf
πCode github.com/pals-ttic/sjc
πProject pals.ttic.edu/p/score-jacobian-chaining
π Novel method to convert pretrained 2D diffusion into 3D generative mode
πReview https://bit.ly/3UppHJx
πPaper arxiv.org/pdf/2212.00774.pdf
πCode github.com/pals-ttic/sjc
πProject pals.ttic.edu/p/score-jacobian-chaining
β€2β‘2π1π₯1π€©1
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π€ͺ Just another ORDINARY week in #AI community π€ͺ
π Let's talk -> https://bit.ly/3VsEfth
π Invite friends -> https://t.me/AI_DeepLearning
π Let's talk -> https://bit.ly/3VsEfth
π Invite friends -> https://t.me/AI_DeepLearning
π€£10π1π₯1
Should I write a book (no technicalities, for everyone) about the evolution of the modern Computer Vision / AI ?
Anonymous Poll
81%
Yes, please!π§‘
19%
No, c'mon. Comment -> https://bit.ly/3B6T6S9
β€9π₯3π₯°1
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π¨ Dr.3D: adapting 3D GANs to Arts π¨
πNovel 3D GAN domain adaptation method for drawings. From portraits to 3D!
πReview https://bit.ly/3He3Phv
πPaper arxiv.org/pdf/2211.16798.pdf
πProject jinwonjoon.github.io/dr3d/
πCode github.com/JinWonjoon/Dr.3D
πNovel 3D GAN domain adaptation method for drawings. From portraits to 3D!
πReview https://bit.ly/3He3Phv
πPaper arxiv.org/pdf/2211.16798.pdf
πProject jinwonjoon.github.io/dr3d/
πCode github.com/JinWonjoon/Dr.3D
π₯°4π₯2β‘1π1π€―1
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π« Tracking EVERYTHING in the wild π«
πDisentangling classification from tracking, Track Every Thing Accuracy (TETA) for SOTA
πReview https://bit.ly/3F2rfU7
πPaper arxiv.org/pdf/2207.12978.pdf
πProject www.vis.xyz/pub/tet/
πDisentangling classification from tracking, Track Every Thing Accuracy (TETA) for SOTA
πReview https://bit.ly/3F2rfU7
πPaper arxiv.org/pdf/2207.12978.pdf
πProject www.vis.xyz/pub/tet/
π€―4π1π₯1π€©1
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π½HD Faces via "Hacked" Smartphoneπ½
πA novel method for HD faces from (polarizing-foils) smartphones
πReview https://bit.ly/3H8yhJN
πPaper arxiv.org/pdf/2212.01160.pdf
πProject dazinovic.github.io/polface
πA novel method for HD faces from (polarizing-foils) smartphones
πReview https://bit.ly/3H8yhJN
πPaper arxiv.org/pdf/2212.01160.pdf
πProject dazinovic.github.io/polface
π₯4π€―1π±1