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🔥#AIwithPapers: we are 4,700!🔥
😎 Me, literally, every day 👆
😈 Share -> https://bit.ly/3fA5geu
😈 Invite friends -> https://t.me/AI_DeepLearning
😎 Me, literally, every day 👆
😈 Share -> https://bit.ly/3fA5geu
😈 Invite friends -> https://t.me/AI_DeepLearning
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🔏First Depth/anti-FacRec Cam 🔏
👉First working prototype that enables passive depth estimation while inhibiting face identification
😎Code (coming)
😎Project https://zaidtas.github.io/privacymask
😎Paper zaidtas.github.io/privacymask/pdf/privacy_preserving_depth_estimation.pdf
👉First working prototype that enables passive depth estimation while inhibiting face identification
😎Code (coming)
😎Project https://zaidtas.github.io/privacymask
😎Paper zaidtas.github.io/privacymask/pdf/privacy_preserving_depth_estimation.pdf
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😈 Synthetic Expression-Wrinkles 😈
👉#Microsoft unveils a novel approach that produces realistic wrinkles across humans
😎Review https://bit.ly/3zWZLOd
😎Paper arxiv.org/pdf/2210.03529.pdf
😎Project microsoft.github.io/DynamicWrinkles
👉#Microsoft unveils a novel approach that produces realistic wrinkles across humans
😎Review https://bit.ly/3zWZLOd
😎Paper arxiv.org/pdf/2210.03529.pdf
😎Project microsoft.github.io/DynamicWrinkles
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🐛FactorMatte Video re-Composition🐛
👉FactorMatte: alternative formulation of video matting problem for re-composition
😎Review https://bit.ly/3NX6hdg
😎Paper arxiv.org/pdf/2211.02145.pdf
😎Project https://factormatte.github.io/
😎Code github.com/jacklyngu/FactorMatte
👉FactorMatte: alternative formulation of video matting problem for re-composition
😎Review https://bit.ly/3NX6hdg
😎Paper arxiv.org/pdf/2211.02145.pdf
😎Project https://factormatte.github.io/
😎Code github.com/jacklyngu/FactorMatte
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🍉 Unifying Flow, Stereo & Depth 🍉
👉A unified neural model for motion and #3D perception tasks
😎Review https://bit.ly/3AbdnFk
😎Paper arxiv.org/pdf/2211.05783.pdf
😎Project haofeixu.github.io/unimatch/
😎Code github.com/autonomousvision/unimatch
👉A unified neural model for motion and #3D perception tasks
😎Review https://bit.ly/3AbdnFk
😎Paper arxiv.org/pdf/2211.05783.pdf
😎Project haofeixu.github.io/unimatch/
😎Code github.com/autonomousvision/unimatch
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🔫 Real-Time Auto Neural Mapping 🔫
👉Robot can densely annotate a scene via fully-autonomous experimental interactions
😎Review https://bit.ly/3GfwQbY
😎Paper arxiv.org/pdf/2210.17325.pdf
😎Project ihaughton.github.io/RobE
👉Robot can densely annotate a scene via fully-autonomous experimental interactions
😎Review https://bit.ly/3GfwQbY
😎Paper arxiv.org/pdf/2210.17325.pdf
😎Project ihaughton.github.io/RobE
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🏔️ InfiniteNature-Zero: ∞ Video 🏔️
👉Open-source generative #AI for unbounded flythrough videos of natural scenes
😎Review https://bit.ly/3hJYELa
😎Paper arxiv.org/pdf/2207.11148.pdf
😎Project infinite-nature-zero.github.io
😎Code https://github.com/google-research/google-research/tree/master/infinite_nature_zero
👉Open-source generative #AI for unbounded flythrough videos of natural scenes
😎Review https://bit.ly/3hJYELa
😎Paper arxiv.org/pdf/2207.11148.pdf
😎Project infinite-nature-zero.github.io
😎Code https://github.com/google-research/google-research/tree/master/infinite_nature_zero
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🧶Open-Source Neural Inpainting Suite🧶
👉Lama Cleaner: a free and open-source inpainting tool powered by SOTA #AI model
😎Review https://bit.ly/3Ex2aSq
😎Project github.com/Sanster/lama-cleaner
👉Lama Cleaner: a free and open-source inpainting tool powered by SOTA #AI model
😎Review https://bit.ly/3Ex2aSq
😎Project github.com/Sanster/lama-cleaner
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🎃 eDiff-I: Generative AI by #Nvidia 🎃
👉eDiff-I: generative AI for text-to-image with instant style transfer & "paint-with-words"
😎Review https://bit.ly/3UEESzk
😎Project deepimagination.cc/eDiffi
😎Paper arxiv.org/pdf/2211.01324.pdf
👉eDiff-I: generative AI for text-to-image with instant style transfer & "paint-with-words"
😎Review https://bit.ly/3UEESzk
😎Project deepimagination.cc/eDiffi
😎Paper arxiv.org/pdf/2211.01324.pdf
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♾ The Universal Image Segmentation ♾
👉OneFormer is the universal framework that unifies: semantic, instance & panoptic 🤯
😎Review https://bit.ly/3g4OAfD
😎Project praeclarumjj3.github.io/oneformer
😎Paper arxiv.org/pdf/2211.06220.pdf
😎Code github.com/SHI-Labs/OneFormer
👉OneFormer is the universal framework that unifies: semantic, instance & panoptic 🤯
😎Review https://bit.ly/3g4OAfD
😎Project praeclarumjj3.github.io/oneformer
😎Paper arxiv.org/pdf/2211.06220.pdf
😎Code github.com/SHI-Labs/OneFormer
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🔥 ROVIS: Robust Online VIS 🔥
👉ROVIS is a novel method for robust online VIS that exhibits impressive accuracy on long clips
😎Review https://bit.ly/3UMugyv
😎Project zitongzhan.github.io/rovis_page/
😎Paper arxiv.org/pdf/2211.09108.pdf
👉ROVIS is a novel method for robust online VIS that exhibits impressive accuracy on long clips
😎Review https://bit.ly/3UMugyv
😎Project zitongzhan.github.io/rovis_page/
😎Paper arxiv.org/pdf/2211.09108.pdf
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🐠 FathomNet: #AI in the Oceans 🐠
👉Open-source image dataset for AI about oceans and its inhabitants
😎Review https://bit.ly/3GsW3jh
😎Project fathomnet.org/fathomnet/#/
😎Paper www.nature.com/articles/s41598-022-19939-2
👉Open-source image dataset for AI about oceans and its inhabitants
😎Review https://bit.ly/3GsW3jh
😎Project fathomnet.org/fathomnet/#/
😎Paper www.nature.com/articles/s41598-022-19939-2
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💎 3DiM: Diffusion Model by Google 💎
👉3DiM: diffusion model for 3D novel view synthesis from as few as a single image
😎Review bit.ly/3UTJFgA
😎Project 3d-diffusion.github.io
😎Paper arxiv.org/pdf/2210.04628.pdf
👉3DiM: diffusion model for 3D novel view synthesis from as few as a single image
😎Review bit.ly/3UTJFgA
😎Project 3d-diffusion.github.io
😎Paper arxiv.org/pdf/2210.04628.pdf
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🔥#StableDiffusion Dataset is out! 🔥
👉DIFFUSIONDB: first large-scale text-to-image dataset: 14 MILLION images with Stable Diffusion!
😎Review https://bit.ly/3V9CpNh
😎Project poloclub.github.io/diffusiondb
😎Paper arxiv.org/pdf/2210.14896.pdf
😎Repo github.com/poloclub/diffusiondb
👉DIFFUSIONDB: first large-scale text-to-image dataset: 14 MILLION images with Stable Diffusion!
😎Review https://bit.ly/3V9CpNh
😎Project poloclub.github.io/diffusiondb
😎Paper arxiv.org/pdf/2210.14896.pdf
😎Repo github.com/poloclub/diffusiondb
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🪄The new SOTA in Text-to-3D is out!🪄
👉#Nvidia unveils Magic3D: generative #AI to create #3D textured mesh from text prompts
😎Review https://bit.ly/3Vb6jAO
😎Project deepimagination.cc/Magic3D
😎Paper arxiv.org/pdf/2211.10440.pdf
👉#Nvidia unveils Magic3D: generative #AI to create #3D textured mesh from text prompts
😎Review https://bit.ly/3Vb6jAO
😎Project deepimagination.cc/Magic3D
😎Paper arxiv.org/pdf/2211.10440.pdf
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🛸Flying-Drones Additive Manufacturing🛸
👉A novel aerial additive manufacturing (Aerial-AM) system via Drones
😎Review https://bit.ly/3XoLZOu
😎Paper www.nature.com/articles/s41586-022-04988-4
👉A novel aerial additive manufacturing (Aerial-AM) system via Drones
😎Review https://bit.ly/3XoLZOu
😎Paper www.nature.com/articles/s41586-022-04988-4
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🔥Perfect Human Annotation by Google!🔥
👉TAP-Vid dataset: accurate human annotations + synthetic videos with PERFECT ground-truth
😎Review https://bit.ly/3i1KRzZ
😎Code github.com/deepmind/tapnet
😎Paper arxiv.org/pdf/2211.03726.pdf
👉TAP-Vid dataset: accurate human annotations + synthetic videos with PERFECT ground-truth
😎Review https://bit.ly/3i1KRzZ
😎Code github.com/deepmind/tapnet
😎Paper arxiv.org/pdf/2211.03726.pdf
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🎴VideoINR: Neural Video Super-Resolution🎴
👉VideoINR: the new SOTA in Continuous Space-Time Super-Resolution is out!
😎Review https://bit.ly/3gpeudY
😎Paper arxiv.org/pdf/2206.04647.pdf
😎Project zeyuan-chen.com/VideoINR
😎Code github.com/Picsart-AI-Research/VideoINR-Continuous-Space-Time-Super-Resolution
👉VideoINR: the new SOTA in Continuous Space-Time Super-Resolution is out!
😎Review https://bit.ly/3gpeudY
😎Paper arxiv.org/pdf/2206.04647.pdf
😎Project zeyuan-chen.com/VideoINR
😎Code github.com/Picsart-AI-Research/VideoINR-Continuous-Space-Time-Super-Resolution
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🔥🔥MagicVideo: Text-To-Video #AI🔥🔥
👉MagicVideo: novel efficient text-to-video AI based on latent diffusion models
😎Review https://bit.ly/3UX5YCd
😎Paper arxiv.org/pdf/2211.11018.pdf
😎Project magicvideo.github.io/
👉MagicVideo: novel efficient text-to-video AI based on latent diffusion models
😎Review https://bit.ly/3UX5YCd
😎Paper arxiv.org/pdf/2211.11018.pdf
😎Project magicvideo.github.io/
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