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👑 OnePose++: One-Shot Pose 👑
👉Open-source (insane) keypoint-free pose pipeline for #AR
😎Review https://bit.ly/3kF0BdG
😎Paper arxiv.org/pdf/2301.07673.pdf
😎Project zju3dv.github.io/onepose_plus_plus
😎Code github.com/zju3dv/OnePose_Plus_Plus
😎Dataset zjueducn-my.sharepoint.com/personal/12121064_zju_edu_cn/_layouts/15/onedrive.aspx
👉Open-source (insane) keypoint-free pose pipeline for #AR
😎Review https://bit.ly/3kF0BdG
😎Paper arxiv.org/pdf/2301.07673.pdf
😎Project zju3dv.github.io/onepose_plus_plus
😎Code github.com/zju3dv/OnePose_Plus_Plus
😎Dataset zjueducn-my.sharepoint.com/personal/12121064_zju_edu_cn/_layouts/15/onedrive.aspx
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🍄 BTS: Density Fields from Single View 🍄
👉Volumetric scene representation from a single image in challenging conditions
😎Review https://bit.ly/3wjHDvH
😎Paper arxiv.org/pdf/2301.07668.pdf
😎Project fwmb.github.io/bts/
👉Volumetric scene representation from a single image in challenging conditions
😎Review https://bit.ly/3wjHDvH
😎Paper arxiv.org/pdf/2301.07668.pdf
😎Project fwmb.github.io/bts/
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⚡StyleGAN-T: unlocking Power of GANs⚡
👉#Nvidia unveils StyleGAN-T to regain competitiveness to GANs vs. Diffusive Models
😎Review https://bit.ly/3HtKxEA
😎Paper arxiv.org/pdf/2301.09515.pdf
😎Project sites.google.com/view/stylegan-t
😎Code github.com/autonomousvision/stylegan-t
👉#Nvidia unveils StyleGAN-T to regain competitiveness to GANs vs. Diffusive Models
😎Review https://bit.ly/3HtKxEA
😎Paper arxiv.org/pdf/2301.09515.pdf
😎Project sites.google.com/view/stylegan-t
😎Code github.com/autonomousvision/stylegan-t
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🪀 NeRF in Time, Space and Appearance 🪀
👉From Berkeley k-planes: a white-box model for radiance fields in arbitrary dimensions
😎Review https://bit.ly/3J8GiiS
😎Paper arxiv.org/pdf/2301.10241.pdf
😎Project sarafridov.github.io/K-Planes/
😎Code github.com/sarafridov/K-Planes
👉From Berkeley k-planes: a white-box model for radiance fields in arbitrary dimensions
😎Review https://bit.ly/3J8GiiS
😎Paper arxiv.org/pdf/2301.10241.pdf
😎Project sarafridov.github.io/K-Planes/
😎Code github.com/sarafridov/K-Planes
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🔥 Neural Tracking via Weighted OF 🔥
👉The new SOTA in planar neural tracking is INSANE!
😎Review https://bit.ly/404gcDs
😎Paper arxiv.org/pdf/2301.10057.pdf
😎Code github.com/serycjon/WOFT
😎Project cmp.felk.cvut.cz/~serycjon/WOFT
👉The new SOTA in planar neural tracking is INSANE!
😎Review https://bit.ly/404gcDs
😎Paper arxiv.org/pdf/2301.10057.pdf
😎Code github.com/serycjon/WOFT
😎Project cmp.felk.cvut.cz/~serycjon/WOFT
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♿ Detecting Vulnerable Pedestrian ♿
👉 BGSU opens a novel pedestrian dataset for vulnerable people
😎Review https://bit.ly/3JjVmu2
😎Paper arxiv.org/pdf/2212.06218.pdf
😎Data github.com/devvansh1997/BGVP
👉 BGSU opens a novel pedestrian dataset for vulnerable people
😎Review https://bit.ly/3JjVmu2
😎Paper arxiv.org/pdf/2212.06218.pdf
😎Data github.com/devvansh1997/BGVP
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🧠 SERENA: LLM for Mental Health Support 🧠
👉Interactive #AI (in "#chatgpt" style) designed for mental health counseling
😎Review https://bit.ly/3wtbW37
😎Paper arxiv.org/pdf/2301.09412.pdf
😎Project https://serena.chat/
👉Interactive #AI (in "#chatgpt" style) designed for mental health counseling
😎Review https://bit.ly/3wtbW37
😎Paper arxiv.org/pdf/2301.09412.pdf
😎Project https://serena.chat/
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🐕 MAV3D: #3D Video from Text 🐕
👉#META unveils a novel #AI for generating #3D dynamic videos from text
😎Review https://bit.ly/3XN0zin
😎Paper arxiv.org/pdf/2301.11280.pdf
😎Project make-a-video3d.github.io
👉#META unveils a novel #AI for generating #3D dynamic videos from text
😎Review https://bit.ly/3XN0zin
😎Paper arxiv.org/pdf/2301.11280.pdf
😎Project make-a-video3d.github.io
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🔥CutLER: Unsupervised Segmentation 🔥
👉Novel paper by #META on detection & instance segmentation without human annotations
😎Review https://bit.ly/3DlFiUG
😎Paper arxiv.org/pdf/2301.11320.pdf
😎Code github.com/facebookresearch/CutLER
😎Project people.eecs.berkeley.edu/~xdwang/projects/CutLER
👉Novel paper by #META on detection & instance segmentation without human annotations
😎Review https://bit.ly/3DlFiUG
😎Paper arxiv.org/pdf/2301.11320.pdf
😎Code github.com/facebookresearch/CutLER
😎Project people.eecs.berkeley.edu/~xdwang/projects/CutLER
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😍 CLIP/GPT3-driven Affective Faces 😍
👉Columbia unveils a neural framework for facial expressions retrieval given the context of the speaker
😎Review https://bit.ly/3HERna0
😎Paper arxiv.org/pdf/2301.10939.pdf
😎Project realtalk.cs.columbia.edu
😎Code github.com/scottgeng00/realtalk
👉Columbia unveils a neural framework for facial expressions retrieval given the context of the speaker
😎Review https://bit.ly/3HERna0
😎Paper arxiv.org/pdf/2301.10939.pdf
😎Project realtalk.cs.columbia.edu
😎Code github.com/scottgeng00/realtalk
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🐦 Physics-inspired Computer Vision 🐦
👉UCLA unveils PhyCV, the first Physics-inspired Computer Vision Library
😎Review https://bit.ly/3HEWozI
😎Code github.com/JalaliLabUCLA/phycv
😎Project photonics.ucla.edu/2022/05/12/jalali-lab-open-sources-phycv-a-physics-inspired-computer-vision-library/
👉UCLA unveils PhyCV, the first Physics-inspired Computer Vision Library
😎Review https://bit.ly/3HEWozI
😎Code github.com/JalaliLabUCLA/phycv
😎Project photonics.ucla.edu/2022/05/12/jalali-lab-open-sources-phycv-a-physics-inspired-computer-vision-library/
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🎷Audio-Visual Semantic Segmentation🎷
👉A novel problem in #AI: pixel-level segmentation of objects that produce sound in the image frame
😎Review https://bit.ly/3wFY6dw
😎Paper arxiv.org/pdf/2301.13190.pdf
😎Project opennlplab.github.io/AVSBench
😎Code github.com/OpenNLPLab/AVSBench
👉A novel problem in #AI: pixel-level segmentation of objects that produce sound in the image frame
😎Review https://bit.ly/3wFY6dw
😎Paper arxiv.org/pdf/2301.13190.pdf
😎Project opennlplab.github.io/AVSBench
😎Code github.com/OpenNLPLab/AVSBench
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🚛 Text-driven Video Neural Editing 🚛
👉A novel text-guided video editing with both appearance/shape
😎Review https://bit.ly/3YcfMJO
😎Paper arxiv.org/pdf/2301.13173.pdf
😎Project text-video-edit.github.io/
👉A novel text-guided video editing with both appearance/shape
😎Review https://bit.ly/3YcfMJO
😎Paper arxiv.org/pdf/2301.13173.pdf
😎Project text-video-edit.github.io/
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⭐ Mono-STAR: Unified Track/3D ⭐
👉Real-time 3D unified framework for semantic fusion, tracking, non-rigid deformation, and topological changes
😎Review https://bit.ly/3Dxvxmx
😎Paper arxiv.org/pdf/2301.13244.pdf
😎Project github.com/changhaonan/Mono-STAR-demo
👉Real-time 3D unified framework for semantic fusion, tracking, non-rigid deformation, and topological changes
😎Review https://bit.ly/3Dxvxmx
😎Paper arxiv.org/pdf/2301.13244.pdf
😎Project github.com/changhaonan/Mono-STAR-demo
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🛋️🛋️ 100% Accurated #3D Labeling 🛋️🛋️
👉#Amazon unveils a novel tool for fine-grained 3D part labeling. Up to 100% accuracy! Paper only😢
😎Review https://bit.ly/3kYpQHQ
😎Paper https://arxiv.org/pdf/2301.10460.pdf
👉#Amazon unveils a novel tool for fine-grained 3D part labeling. Up to 100% accuracy! Paper only😢
😎Review https://bit.ly/3kYpQHQ
😎Paper https://arxiv.org/pdf/2301.10460.pdf
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💧FLOW360: 360° Neural Optical Flow💧
👉 The first perceptually realistic 360° video benchmark dataset + SLOF method for OF tracking
😎Review https://bit.ly/3wMZZoX
😎Paper arxiv.org/pdf/2301.11880.pdf
😎Project https://siamlof.github.io
👉 The first perceptually realistic 360° video benchmark dataset + SLOF method for OF tracking
😎Review https://bit.ly/3wMZZoX
😎Paper arxiv.org/pdf/2301.11880.pdf
😎Project https://siamlof.github.io
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🐓DREAMIX:General Diffusive Video Editor🐓
👉#Google unveils the first diffusion-based method able to perform text-based motion/appearance editing of general videos
😎Review https://bit.ly/3I3Hq6B
😎Paper arxiv.org/pdf/2302.01329.pdf
😎Project dreamix-video-editing.github.io/
👉#Google unveils the first diffusion-based method able to perform text-based motion/appearance editing of general videos
😎Review https://bit.ly/3I3Hq6B
😎Paper arxiv.org/pdf/2302.01329.pdf
😎Project dreamix-video-editing.github.io/
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🧩 Text-Guided #3D Texturing 🧩
👉 Text-Guided HQ textures via iterative diffusion-based process
😎Review https://bit.ly/3ldC6Ez
😎Project texturepaper.github.io/TEXTurePaper
😎Code github.com/TEXTurePaper/TEXTurePaper
😎Paper texturepaper.github.io/TEXTurePaper/static/paper.pdf
👉 Text-Guided HQ textures via iterative diffusion-based process
😎Review https://bit.ly/3ldC6Ez
😎Project texturepaper.github.io/TEXTurePaper
😎Code github.com/TEXTurePaper/TEXTurePaper
😎Paper texturepaper.github.io/TEXTurePaper/static/paper.pdf
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🦚 MOSE: coMplex video Object SEgmentation 🦚
👉Novel Dataset for VOS is out! SOTA method on DAVIS is only 59.4% on MOSE
😎Review https://bit.ly/40yzSzW
😎Paper arxiv.org/pdf/2302.01872.pdf
😎Project henghuiding.github.io/MOSE/
😎Code github.com/henghuiding/MOSE-api
👉Novel Dataset for VOS is out! SOTA method on DAVIS is only 59.4% on MOSE
😎Review https://bit.ly/40yzSzW
😎Paper arxiv.org/pdf/2302.01872.pdf
😎Project henghuiding.github.io/MOSE/
😎Code github.com/henghuiding/MOSE-api
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🌘 Gen-1: next-gen Generative #AI 🌘
👉#Runway unveils Gen-1: the next step forward for Generative AI. Registration available for beta -> hurry up!
😎Review https://bit.ly/3YqQYh8
😎Paper arxiv.org/pdf/2302.03011.pdf
😎Project https://research.runwayml.com/gen1
👉#Runway unveils Gen-1: the next step forward for Generative AI. Registration available for beta -> hurry up!
😎Review https://bit.ly/3YqQYh8
😎Paper arxiv.org/pdf/2302.03011.pdf
😎Project https://research.runwayml.com/gen1
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