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🐸 RANA: Neural Avatar by #Nvidia 🐸
👉Neural humans under arbitrary viewpoints, body poses & lighting
😎Review https://bit.ly/3iIYOTP
😎Paper arxiv.org/pdf/2212.03237.pdf
😎Project nvlabs.github.io/RANA
👉Neural humans under arbitrary viewpoints, body poses & lighting
😎Review https://bit.ly/3iIYOTP
😎Paper arxiv.org/pdf/2212.03237.pdf
😎Project nvlabs.github.io/RANA
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🧰UDE: Unified Human Motion Generation🧰
👉The first unified human motion from Text or Audio. Audio ON, New SOTA.
😎Review https://bit.ly/3HjWsVN
😎Paper arxiv.org/pdf/2211.16016.pdf
😎Project zixiangzhou916.github.io/UDE
😎Code github.com/zixiangzhou916/UDE
👉The first unified human motion from Text or Audio. Audio ON, New SOTA.
😎Review https://bit.ly/3HjWsVN
😎Paper arxiv.org/pdf/2211.16016.pdf
😎Project zixiangzhou916.github.io/UDE
😎Code github.com/zixiangzhou916/UDE
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🔥 #StableDiffusion 2.1 is out! 🔥
👉Stability.ai releases Stable Diffusion v2.1 and DreamStudio-Updates_7-Dec 22.
😎Review https://bit.ly/3Y49898
😎Code github.com/Stability-AI/stablediffusion
😎Blog stability.ai/blog/stablediffusion2-1-release7-dec-2022
👉Stability.ai releases Stable Diffusion v2.1 and DreamStudio-Updates_7-Dec 22.
😎Review https://bit.ly/3Y49898
😎Code github.com/Stability-AI/stablediffusion
😎Blog stability.ai/blog/stablediffusion2-1-release7-dec-2022
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🪂 Fast Neural Deferred Shading 🪂
👉Novel fast multi-view 3D reconstruction with arbitrary materials & light
😎Review https://bit.ly/3Brs9bY
😎Project fraunhoferhhi.github.io/neural-deferred-shading
😎Code github.com/fraunhoferhhi/neural-deferred-shading
😎Paper mworchel.github.io/assets/papers/neural_deferred_shading_with_supp.pdf
👉Novel fast multi-view 3D reconstruction with arbitrary materials & light
😎Review https://bit.ly/3Brs9bY
😎Project fraunhoferhhi.github.io/neural-deferred-shading
😎Code github.com/fraunhoferhhi/neural-deferred-shading
😎Paper mworchel.github.io/assets/papers/neural_deferred_shading_with_supp.pdf
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🦄 #3D Human Motion from Speech 🦄
👉The new SOTA in generating 3D holistic body motions from human speech
😎Review https://bit.ly/3W59RVB
😎Project talkshow.is.tue.mpg.de/
😎Paper arxiv.org/pdf/2212.04420.pdf
👉The new SOTA in generating 3D holistic body motions from human speech
😎Review https://bit.ly/3W59RVB
😎Project talkshow.is.tue.mpg.de/
😎Paper arxiv.org/pdf/2212.04420.pdf
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💎4K-NeRF: Ultra High Resolution NeRF💎
👉Alibaba unveils the novel SOTA in Ultra High Resolution NeRF -> Up to 4K!
😎Review https://bit.ly/3hh3YGj
😎Code github.com/frozoul/4K-NeRF
😎Paper arxiv.org/pdf/2212.04701.pdf
👉Alibaba unveils the novel SOTA in Ultra High Resolution NeRF -> Up to 4K!
😎Review https://bit.ly/3hh3YGj
😎Code github.com/frozoul/4K-NeRF
😎Paper arxiv.org/pdf/2212.04701.pdf
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👁️ Eye Tracking: the Tear Film Lipid 👁️
👉 Berkeley unveils a novel approach for DED, fully CV-based
😎Review https://bit.ly/3FndGyY
😎Project easytear-dev.github.io/
😎Paper arxiv.org/pdf/2212.03450.pdf
👉 Berkeley unveils a novel approach for DED, fully CV-based
😎Review https://bit.ly/3FndGyY
😎Project easytear-dev.github.io/
😎Paper arxiv.org/pdf/2212.03450.pdf
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🐲 Neural Rendering from Web Images 🐲
👉Snap opens the novel SOTA in neural rendering from online image collections
😎Review https://bit.ly/3VPOjwy
😎Project formyfamily.github.io/NeROIC/
😎Paper arxiv.org/pdf/2201.02533.pdf
😎Code github.com/snap-research/NeROIC
👉Snap opens the novel SOTA in neural rendering from online image collections
😎Review https://bit.ly/3VPOjwy
😎Project formyfamily.github.io/NeROIC/
😎Paper arxiv.org/pdf/2201.02533.pdf
😎Code github.com/snap-research/NeROIC
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🔥 E2POSE: code is out! 🔥
👉E2Pose: fully convolutional networks for e2e multi-person pose estimation
😎Review https://bit.ly/3WelGsP
😎Code github.com/AISIN-TRC/E2Pose
😎Tutorial cedro3.com/ai/e2pose/
😎Paper, not yet 🤷♂️
👉E2Pose: fully convolutional networks for e2e multi-person pose estimation
😎Review https://bit.ly/3WelGsP
😎Code github.com/AISIN-TRC/E2Pose
😎Tutorial cedro3.com/ai/e2pose/
😎Paper, not yet 🤷♂️
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🧙Distortion-Aware Neural Selection 🧙
👉#Adobe unveils a novel method for interactive workflows used for decaling, texturing, or painting on surfaces
😎Review https://bit.ly/3uSou3b
😎Project threedle.github.io/DA-Wand
😎Paper https://drive.google.com/file/d/1OkGwIPQb9RUeT5aw-X_tdBAPG0bB4dNQ/view
👉#Adobe unveils a novel method for interactive workflows used for decaling, texturing, or painting on surfaces
😎Review https://bit.ly/3uSou3b
😎Project threedle.github.io/DA-Wand
😎Paper https://drive.google.com/file/d/1OkGwIPQb9RUeT5aw-X_tdBAPG0bB4dNQ/view
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🔥 GhostNetV2: Pure Neural Fire! 🔥
👉 Novel HW-friendly attention & GhostNetV2 for mobile. Top-1 with only 167M FLOPs
😎Review https://bit.ly/3j2EIUJ
😎Paper arxiv.org/pdf/2211.12905.pdf
👉 Novel HW-friendly attention & GhostNetV2 for mobile. Top-1 with only 167M FLOPs
😎Review https://bit.ly/3j2EIUJ
😎Paper arxiv.org/pdf/2211.12905.pdf
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🧲 MAGVIT: 250x Faster Transformer 🧲
👉MAGVIT: ONE model -> 10+ video synthesis tasks!
😎Review https://bit.ly/3FX2P09
😎Project magvit.cs.cmu.edu/
😎Paper arxiv.org/pdf/2212.05199.pdf
😎Code github.com/MAGVIT/magvit
👉MAGVIT: ONE model -> 10+ video synthesis tasks!
😎Review https://bit.ly/3FX2P09
😎Project magvit.cs.cmu.edu/
😎Paper arxiv.org/pdf/2212.05199.pdf
😎Code github.com/MAGVIT/magvit
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🎯 MOTRv2: Tracking by Pretrained Model 🎯
👉MOTRv2: e2e multi-object tracking with pretrained detector
😎Review https://bit.ly/3UYzvdN
😎Paper arxiv.org/pdf/2211.09791.pdf
😎Code github.com/megvii-research/MOTRv2
👉MOTRv2: e2e multi-object tracking with pretrained detector
😎Review https://bit.ly/3UYzvdN
😎Paper arxiv.org/pdf/2211.09791.pdf
😎Code github.com/megvii-research/MOTRv2
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☔ ECON: Explicit Clothed #Avatars ☔
👉ECON: high-fidelity 3D humans even in loose clothes and challenging poses
😎Review https://bit.ly/3W21Wsu
😎Paper arxiv.org/pdf/2212.07422.pdf
😎Project https://xiuyuliang.cn/econ/
😎Code https://github.com/YuliangXiu/ECON
👉ECON: high-fidelity 3D humans even in loose clothes and challenging poses
😎Review https://bit.ly/3W21Wsu
😎Paper arxiv.org/pdf/2212.07422.pdf
😎Project https://xiuyuliang.cn/econ/
😎Code https://github.com/YuliangXiu/ECON
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🟥 3DHumanGAN: 3D Humans 🟥
👉 The first ever 3D-aware GAN for full-body humans is out!
😎Review https://bit.ly/3V07QJE
😎Paper arxiv.org/pdf/2212.07378.pdf
😎Code 3dhumangan.github.io/
😎Project github.com/3dhumangan/3DHumanGAN
👉 The first ever 3D-aware GAN for full-body humans is out!
😎Review https://bit.ly/3V07QJE
😎Paper arxiv.org/pdf/2212.07378.pdf
😎Code 3dhumangan.github.io/
😎Project github.com/3dhumangan/3DHumanGAN
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🔍 DifFace: Super-Face Restoration 🔍
👉The new SOTA face restoration in severe-degradation photos
😎Review https://bit.ly/3YqCsXr
😎Paper arxiv.org/pdf/2212.06512.pdf
😎Code github.com/zsyOAOA/DifFace
👉The new SOTA face restoration in severe-degradation photos
😎Review https://bit.ly/3YqCsXr
😎Paper arxiv.org/pdf/2212.06512.pdf
😎Code github.com/zsyOAOA/DifFace
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🔥DRAMA of the week: ARTIST vs.#AI ART🔥
👉Generative AI is changing forever (again) how we create images, video and music. Progress brings conflict.
Let's talk: https://bit.ly/3BHOUIN
👉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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🖼️ PV3D: Generative Portrait Video 🖼️
👉 PV3D: first generative #AI for multi-view consistent portrait videos
😎Review https://bit.ly/3W5l5dn
😎Project showlab.github.io/pv3d/
😎Paper arxiv.org/pdf/2212.06384.pdf
👉 PV3D: first generative #AI for multi-view consistent portrait videos
😎Review https://bit.ly/3W5l5dn
😎Project showlab.github.io/pv3d/
😎Paper arxiv.org/pdf/2212.06384.pdf
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AI with Papers - Artificial Intelligence & Deep Learning
⚛️SOTA ALERT! Particles Tracking ⚛️ 👉The new SOTA in video particles tracking. "Old school" taste, with neural flavor 🧡 😎Review https://bit.ly/3CaU5Ai 😎Project particle-video-revisited.github.io/ 😎Paper arxiv.org/pdf/2204.04153.pdf 😎Code github.com/aharley/pips
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🔥 MODEL (and SOTA) UPDATE 🔥
👉 New PIPs checkpoint: 4x larger batch size and better performance than the "old" #ECCV2022 paper
👆 In the gif: tracking >5000 points on a camel (1.5s on #Nvidia RTX 3090)
👉 New PIPs checkpoint: 4x larger batch size and better performance than the "old" #ECCV2022 paper
👆 In the gif: tracking >5000 points on a camel (1.5s on #Nvidia RTX 3090)
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🏜Insane Neural Asset by #META 🏜
👉DiffRF: novel 3D radiance field synthesis based on denoising diffusion
😎Review https://bit.ly/3V5Daqo
😎Project sirwyver.github.io/DiffRF/
😎Paper arxiv.org/pdf/2212.01206.pdf
👉DiffRF: novel 3D radiance field synthesis based on denoising diffusion
😎Review https://bit.ly/3V5Daqo
😎Project sirwyver.github.io/DiffRF/
😎Paper arxiv.org/pdf/2212.01206.pdf
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