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⚽️ Vid2Avatar: 3D Avatar from Videos ⚽️
👉Vid2Avatar: detailed 3D avatar from monocular videos in the wild
😎Review https://bit.ly/3ISbceD
😎Paper arxiv.org/pdf/2302.11566.pdf
😎Project moygcc.github.io/vid2avatar
😎Code (soon) github.com/MoyGcc
👉Vid2Avatar: detailed 3D avatar from monocular videos in the wild
😎Review https://bit.ly/3ISbceD
😎Paper arxiv.org/pdf/2302.11566.pdf
😎Project moygcc.github.io/vid2avatar
😎Code (soon) github.com/MoyGcc
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🏉 SLAHMR: 4D People from Clip in-the-Wild 🏉
👉UC-Berkeley unveils SLAHMR: novel method to reconstruct global human trajectories from videos
😎Review https://bit.ly/3SzTIaj
😎Paper arxiv.org/pdf/2302.12827.pdf
😎Project vye16.github.io/slahmr/
😎Code github.com/vye16/slahmr
👉UC-Berkeley unveils SLAHMR: novel method to reconstruct global human trajectories from videos
😎Review https://bit.ly/3SzTIaj
😎Paper arxiv.org/pdf/2302.12827.pdf
😎Project vye16.github.io/slahmr/
😎Code github.com/vye16/slahmr
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🐇 SplineCam: Neural Decision Boundary 🐇
👉#META -> SplineCam: a step towards neural visualization / interpretability
😎Review https://bit.ly/3mgoOaH
😎Paper arxiv.org/pdf/2302.12828.pdf
😎Project imtiazhumayun.github.io/splinecam
😎Code github.com/AhmedImtiazPrio/SplineCAM
👉#META -> SplineCam: a step towards neural visualization / interpretability
😎Review https://bit.ly/3mgoOaH
😎Paper arxiv.org/pdf/2302.12828.pdf
😎Project imtiazhumayun.github.io/splinecam
😎Code github.com/AhmedImtiazPrio/SplineCAM
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👑 ControNet: Conditional Control of Diffusion 👑
👉Controlling Stable Diffusion via conditional inputs like edges, segmentation, keypoints, etc. Extra: a super-nice tutorial.
😎Review https://bit.ly/3YgjrWt
😎Paper arxiv.org/pdf/2302.05543.pdf
😎Code github.com/lllyasviel/ControlNet
😎Tutorial https://github.com/Mikubill/sd-webui-controlnet/discussions/204
👉Controlling Stable Diffusion via conditional inputs like edges, segmentation, keypoints, etc. Extra: a super-nice tutorial.
😎Review https://bit.ly/3YgjrWt
😎Paper arxiv.org/pdf/2302.05543.pdf
😎Code github.com/lllyasviel/ControlNet
😎Tutorial https://github.com/Mikubill/sd-webui-controlnet/discussions/204
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🛸 TAU: video traffic analytics via UAVs 🛸
👉 Prince Sultan University unveils TAU: AI-integrated video analytics framework from UAVs' POV
😎Review https://bit.ly/3EQIh8F
😎Paper arxiv.org/pdf/2303.00337.pdf
😎Project github.com/bilel-bj/TAU
👉 Prince Sultan University unveils TAU: AI-integrated video analytics framework from UAVs' POV
😎Review https://bit.ly/3EQIh8F
😎Paper arxiv.org/pdf/2303.00337.pdf
😎Project github.com/bilel-bj/TAU
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🩻 Independent Tokens for 3D Human 🩻
👉Tencent open-sourcing a novel method to estimate #3D human pose and shape from monocular videos
😎Review https://bit.ly/3Zz0uiH
😎Paper arxiv.org/pdf/2303.00298.pdf
😎Code github.com/yangsenius/INT_HMR_Model
😎Project yangsenius.github.io/INT_HMR_Model/index.html
👉Tencent open-sourcing a novel method to estimate #3D human pose and shape from monocular videos
😎Review https://bit.ly/3Zz0uiH
😎Paper arxiv.org/pdf/2303.00298.pdf
😎Code github.com/yangsenius/INT_HMR_Model
😎Project yangsenius.github.io/INT_HMR_Model/index.html
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🌸 3DGP: ImageNet in #3D 🌸
👉 Snap unveils 3DGP: a novel 3D generator with Generic Priors
😎Review https://bit.ly/3KWHUgG
😎Paper arxiv.org/pdf/2303.01416.pdf
😎Project snap-research.github.io/3dgp/
😎Code github.com/snap-research/3dgp
👉 Snap unveils 3DGP: a novel 3D generator with Generic Priors
😎Review https://bit.ly/3KWHUgG
😎Paper arxiv.org/pdf/2303.01416.pdf
😎Project snap-research.github.io/3dgp/
😎Code github.com/snap-research/3dgp
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🗺️ S-NeRF: NeRF for Street Views 🗺️
👉S-NeRF: novel view synthesis of streets & foreground moving vehicles jointly
😎Review https://bit.ly/3KZUN9w
😎Paper arxiv.org/pdf/2303.00749.pdf
😎Project ziyang-xie.github.io/s-nerf/
😎Code (soon)
👉S-NeRF: novel view synthesis of streets & foreground moving vehicles jointly
😎Review https://bit.ly/3KZUN9w
😎Paper arxiv.org/pdf/2303.00749.pdf
😎Project ziyang-xie.github.io/s-nerf/
😎Code (soon)
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🧱 MobileBrick: #3D object on mobile 🧱
👉#Apple (+Oxford) exploiting #LEGO bricks to open the most precise #3D dataset ever. Suitable for mobile #AR
😎Review https://bit.ly/3ZqbiAh
😎Paper arxiv.org/pdf/2303.01932.pdf
😎Project code.active.vision/MobileBrick/
😎Code github.com/ActiveVisionLab/MobileBrick
👉#Apple (+Oxford) exploiting #LEGO bricks to open the most precise #3D dataset ever. Suitable for mobile #AR
😎Review https://bit.ly/3ZqbiAh
😎Paper arxiv.org/pdf/2303.01932.pdf
😎Project code.active.vision/MobileBrick/
😎Code github.com/ActiveVisionLab/MobileBrick
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⚠️ BREAKING: Stability Acquires Init ML ⚠️
👉 Stability AI (#stablediffusion) announces the acquisition of Clipdrop makers 🤯
👉 More: https://bit.ly/3JhKkVO
👉 Stability AI (#stablediffusion) announces the acquisition of Clipdrop makers 🤯
👉 More: https://bit.ly/3JhKkVO
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🐠🐡 DeepSeeColor: Under the Sea in Colors 🐡🐠
👉 DeepSeeColor: real-time adaptive color correction under the sea
😎Review https://bit.ly/3mxGuyP
😎Paper arxiv.org/pdf/2303.04025.pdf
😎Code warp.whoi.edu/deepseecolor
👉 DeepSeeColor: real-time adaptive color correction under the sea
😎Review https://bit.ly/3mxGuyP
😎Paper arxiv.org/pdf/2303.04025.pdf
😎Code warp.whoi.edu/deepseecolor
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🧩 X-Avatar: Expressive Human Avatars 🧩
👉ETHZ (+Microsoft) unveils X-Avatar: digital expressive humans for life-like experiences (#AR / #VR)
😎Review https://bit.ly/3J6YDLH
😎Paper arxiv.org/pdf/2303.04805.pdf
😎Project https://skype-line.github.io/projects/X-Avatar/
😎Code https://github.com/Skype-line/X-Avatar
👉ETHZ (+Microsoft) unveils X-Avatar: digital expressive humans for life-like experiences (#AR / #VR)
😎Review https://bit.ly/3J6YDLH
😎Paper arxiv.org/pdf/2303.04805.pdf
😎Project https://skype-line.github.io/projects/X-Avatar/
😎Code https://github.com/Skype-line/X-Avatar
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🚀 Visual ChatGPT: Talking, Drawing & Editing 🚀
👉 Microsoft extends ChatGPT to handle visual information
😎Review https://bit.ly/3LkSJJD
😎Paper arxiv.org/pdf/2303.04671.pdf
😎Code github.com/microsoft/visual-chatgpt
👉 Microsoft extends ChatGPT to handle visual information
😎Review https://bit.ly/3LkSJJD
😎Paper arxiv.org/pdf/2303.04671.pdf
😎Code github.com/microsoft/visual-chatgpt
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🐢 GigaGAN: ultra-GAN Synthesis 🐢
👉 Novel method that far exceeds the previous limits of GAN -> ultra HD images!
😎Review https://bit.ly/3ZYnZBX
😎Paper arxiv.org/pdf/2303.05511.pdf
😎Project mingukkang.github.io/GigaGAN
👉 Novel method that far exceeds the previous limits of GAN -> ultra HD images!
😎Review https://bit.ly/3ZYnZBX
😎Paper arxiv.org/pdf/2303.05511.pdf
😎Project mingukkang.github.io/GigaGAN
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🎀 The baby is born: GPT-4 is out! 🎀
👉GPT-4 is the new LLM (accepting image and text inputs, emitting text outputs) with human-level performance on various professional and academic benchmarks
😎More: https://bit.ly/3LntuWL
👉GPT-4 is the new LLM (accepting image and text inputs, emitting text outputs) with human-level performance on various professional and academic benchmarks
😎More: https://bit.ly/3LntuWL
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🐍ViperGPT: Visual Inference / Reasoning🐍
👉ViperGPT: vision/language -> code to produce results for any query
😎Review https://bit.ly/3n6yw01
😎Paper arxiv.org/pdf/2303.08128.pdf
😎Project viper.cs.columbia.edu/
😎Code github.com/cvlab-columbia/viper
👉ViperGPT: vision/language -> code to produce results for any query
😎Review https://bit.ly/3n6yw01
😎Paper arxiv.org/pdf/2303.08128.pdf
😎Project viper.cs.columbia.edu/
😎Code github.com/cvlab-columbia/viper
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💀 SDFStudio: Unified Surface Reconstruction 💀
👉A unified (and open) framework for neural implicit surface reconstruction
😎Review https://bit.ly/3yUvuP2
😎Project autonomousvision.github.io/sdfstudio
😎Code github.com/autonomousvision/sdfstudio
😎Doc github.com/autonomousvision/sdfstudio/blob/master/docs/sdfstudio-methods.md
👉A unified (and open) framework for neural implicit surface reconstruction
😎Review https://bit.ly/3yUvuP2
😎Project autonomousvision.github.io/sdfstudio
😎Code github.com/autonomousvision/sdfstudio
😎Doc github.com/autonomousvision/sdfstudio/blob/master/docs/sdfstudio-methods.md
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📘 e-book: Understanding Deep Learning 📘
👉From MIT Press, a free & fresh book for mastering the Deep Learning & #AI
😎Download https://bit.ly/3JUHMNv
👉From MIT Press, a free & fresh book for mastering the Deep Learning & #AI
😎Download https://bit.ly/3JUHMNv
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