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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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🧟♀️ Generative Neural Texture for Avatars 🧟♀️
👉Novel #3D GAN for (the most, ever) detailed facial avatars from unstructured 2D images
😎Review https://bit.ly/3EvF0dS
😎Project mrtornado24.github.io/Next3D/
😎Paper arxiv.org/pdf/2211.11208.pdf
😎Code github.com/MrTornado24/Next3D
👉Novel #3D GAN for (the most, ever) detailed facial avatars from unstructured 2D images
😎Review https://bit.ly/3EvF0dS
😎Project mrtornado24.github.io/Next3D/
😎Paper arxiv.org/pdf/2211.11208.pdf
😎Code github.com/MrTornado24/Next3D
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🖌️ Neural Semantic Image Synthesis 🖌️
👉Adobe unveils SceneComposer: text to 2D semantic canvas with precise shapes
😎Review https://bit.ly/3EtDyIL
😎Project zengyu.me/scenec
😎Paper arxiv.org/pdf/2211.11742.pdf
😎Code github.com/zengxianyu/scenec
👉Adobe unveils SceneComposer: text to 2D semantic canvas with precise shapes
😎Review https://bit.ly/3EtDyIL
😎Project zengyu.me/scenec
😎Paper arxiv.org/pdf/2211.11742.pdf
😎Code github.com/zengxianyu/scenec
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🍹 Perceptual NeRF-Inpainting 🍹
👉A novel complete process for #3D scene manipulation powered by NeRF
😎Review https://bit.ly/3Vn0EaT
😎Paper arxiv.org/pdf/2211.12254.pdf
😎Project spinnerf3d.github.io
👉A novel complete process for #3D scene manipulation powered by NeRF
😎Review https://bit.ly/3Vn0EaT
😎Paper arxiv.org/pdf/2211.12254.pdf
😎Project spinnerf3d.github.io
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🔥 Stable Diffusion 2.0 is out! 🔥
👉The open-source of #StableDiffusion V2 just released. Magic 🤯
😎Review https://bit.ly/3XwGInO
😎Code github.com/Stability-AI/stablediffusion
😎Blog stability.ai/blog/stable-diffusion-v2-release
👉The open-source of #StableDiffusion V2 just released. Magic 🤯
😎Review https://bit.ly/3XwGInO
😎Code github.com/Stability-AI/stablediffusion
😎Blog stability.ai/blog/stable-diffusion-v2-release
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🥇MineDojo: Agents at Internet-Scale🥇
👉The #neurips2022 Outstanding Paper Award winner is out. By #Nvidia et al.
😎Review https://bit.ly/3F0RPhN
😎Project https://minedojo.org/
😎Paper arxiv.org/pdf/2206.08853.pdf
😎Code github.com/MineDojo/MineDojo
👉The #neurips2022 Outstanding Paper Award winner is out. By #Nvidia et al.
😎Review https://bit.ly/3F0RPhN
😎Project https://minedojo.org/
😎Paper arxiv.org/pdf/2206.08853.pdf
😎Code github.com/MineDojo/MineDojo
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AI with Papers - Artificial Intelligence & Deep Learning
🎷 Pix2Seq: object detection by #Google 🎷 👉A novel framework to perform object detection as a language modeling task 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: ✅Obj. detection as a lang-modeling task ✅BBs/labels -> seq. of discrete token ✅Encoder-decoder (one token at a time) ✅Code under…
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🍫 Tracking in Motion-Blurred Clips 🍫
👉Robust line segment detector in motion-blurred clips -> #SLAM / #3D.
😎Review https://bit.ly/3F2wHrb
😎Paper arxiv.org/pdf/2211.07365.pdf
😎Project levenberg.github.io/FE-LSD/
😎Code github.com/lh9171338/FE-LSD
👉Robust line segment detector in motion-blurred clips -> #SLAM / #3D.
😎Review https://bit.ly/3F2wHrb
😎Paper arxiv.org/pdf/2211.07365.pdf
😎Project levenberg.github.io/FE-LSD/
😎Code github.com/lh9171338/FE-LSD
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💃EDGE: Diffusive Dancers Generator💃
👉New SOTA in editable human-dancer generation according to the input music
😎Review https://bit.ly/3u2egfY
😎Paper arxiv.org/pdf/2211.10658.pdf
😎Project edge-dance.github.io/
👉New SOTA in editable human-dancer generation according to the input music
😎Review https://bit.ly/3u2egfY
😎Paper arxiv.org/pdf/2211.10658.pdf
😎Project edge-dance.github.io/
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🥬 Diffusive Sketch-Guided Text-to-Image 🥬
👉#Google unveils a universal approach for T2I (pre-trained) diffusion: free-hand, saliency-guided, etc.
😎Review https://bit.ly/3XFVMj2
😎Project sketch-guided-diffusion.github.io/
😎Paper sketch-guided-diffusion.github.io/files/sketch-guided-preprint.pdf
👉#Google unveils a universal approach for T2I (pre-trained) diffusion: free-hand, saliency-guided, etc.
😎Review https://bit.ly/3XFVMj2
😎Project sketch-guided-diffusion.github.io/
😎Paper sketch-guided-diffusion.github.io/files/sketch-guided-preprint.pdf
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🐈 SpaText: Spatio-Textual Generation 🐈
👉#META AI unveils a novel T2I using open-vocabulary scene control
😎Review https://bit.ly/3OKcdXz
😎Project omriavrahami.com/spatext/
😎Paper arxiv.org/pdf/2211.14305.pdf
😎Code (coming)
👉#META AI unveils a novel T2I using open-vocabulary scene control
😎Review https://bit.ly/3OKcdXz
😎Project omriavrahami.com/spatext/
😎Paper arxiv.org/pdf/2211.14305.pdf
😎Code (coming)
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💡Diffusive Generation/Inpainting/Reconstruction💡
👉The first 3D-aware diffusion model purely trained from 2D images only
😎Review https://bit.ly/3XyHyjY
😎Paper arxiv.org/pdf/2211.09869.pdf
😎Code github.com/Anciukevicius/RenderDiffusion
👉The first 3D-aware diffusion model purely trained from 2D images only
😎Review https://bit.ly/3XyHyjY
😎Paper arxiv.org/pdf/2211.09869.pdf
😎Code github.com/Anciukevicius/RenderDiffusion
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🚗 3DDesigner: Text-guided Diffusion 🚗
👉Novel method to generate #3D fine-grained objects via textual diffusion
😎Review https://bit.ly/3Fbmyc1
😎Project 3ddesigner-diffusion.github.io/
😎Paper arxiv.org/pdf/2211.14108.pdf
👉Novel method to generate #3D fine-grained objects via textual diffusion
😎Review https://bit.ly/3Fbmyc1
😎Project 3ddesigner-diffusion.github.io/
😎Paper arxiv.org/pdf/2211.14108.pdf
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