This media is not supported in your browser
VIEW IN TELEGRAM
👩🦰 Ultra-Realistic Neural Hair 👩🦰
👉A novel method to reconstruct the hair geometry at a strand level from monocular video or multi-view images
😎Review https://t.ly/6xZyp
😎Paper arxiv.org/pdf/2306.05872.pdf
😎Project samsunglabs.github.io/NeuralHaircut
😎Code github.com/SamsungLabs/NeuralHaircut
👉A novel method to reconstruct the hair geometry at a strand level from monocular video or multi-view images
😎Review https://t.ly/6xZyp
😎Paper arxiv.org/pdf/2306.05872.pdf
😎Project samsunglabs.github.io/NeuralHaircut
😎Code github.com/SamsungLabs/NeuralHaircut
🤯17🤩5😍5👍2⚡1
This media is not supported in your browser
VIEW IN TELEGRAM
💪 Muscles in Action with #AI 💪
👉Muscles in Action (MIA): learn to incorporate muscle activity into human motion representations
😎Review https://t.ly/hUKub
😎Paper arxiv.org/pdf/2212.02978.pdf
😎Project musclesinaction.cs.columbia.edu
👉Muscles in Action (MIA): learn to incorporate muscle activity into human motion representations
😎Review https://t.ly/hUKub
😎Paper arxiv.org/pdf/2212.02978.pdf
😎Project musclesinaction.cs.columbia.edu
🔥7👍2👏2🤯1
This media is not supported in your browser
VIEW IN TELEGRAM
🪤 PAPR: Proximity Attention Point Render 🪤
👉PAPR: fast point-based scene representation with differentiable renderer approach
😎Review https://t.ly/yoI0g
😎Paper arxiv.org/pdf/2307.11086.pdf
😎Project https://zvict.github.io/papr
👉PAPR: fast point-based scene representation with differentiable renderer approach
😎Review https://t.ly/yoI0g
😎Paper arxiv.org/pdf/2307.11086.pdf
😎Project https://zvict.github.io/papr
👍2🥰2😱1
This media is not supported in your browser
VIEW IN TELEGRAM
🪛 CAD-based Object Segmentation 🪛
👉 A novel three-stage approach to segment unseen objects in RGB images using their CAD models
😎Review https://t.ly/RtHLN
😎Paper arxiv.org/pdf/2307.11067.pdf
😎Code https://github.com/nv-nguyen/cnos
👉 A novel three-stage approach to segment unseen objects in RGB images using their CAD models
😎Review https://t.ly/RtHLN
😎Paper arxiv.org/pdf/2307.11067.pdf
😎Code https://github.com/nv-nguyen/cnos
🔥7🤯4❤1😱1🤩1😍1
This media is not supported in your browser
VIEW IN TELEGRAM
🛵 ALPR via CTS-Matching 🛵
👉UIT unveils a neural approach (#YOLO5 + tracking + rotation) to improve the license plate recognition accuracy
😎Review https://t.ly/VP4BP
😎Paper arxiv.org/pdf/2307.11336.pdf
😎Code github.com/chequanghuy/Character-Time-series-Matching
👉UIT unveils a neural approach (#YOLO5 + tracking + rotation) to improve the license plate recognition accuracy
😎Review https://t.ly/VP4BP
😎Paper arxiv.org/pdf/2307.11336.pdf
😎Code github.com/chequanghuy/Character-Time-series-Matching
🔥9❤2🤯1😱1🤣1
This media is not supported in your browser
VIEW IN TELEGRAM
🥬 Generative AI’s Next Frontiers 🥬
👉Hair simulation, 2D->3D animation, and much more. ~20 papers from #NVIDIA accepted into #SIGGRAPH2023
😎 Review https://t.ly/wgGin
👉Hair simulation, 2D->3D animation, and much more. ~20 papers from #NVIDIA accepted into #SIGGRAPH2023
😎 Review https://t.ly/wgGin
🤯13👍3🤩3🥰1😱1💩1
This media is not supported in your browser
VIEW IN TELEGRAM
🦀 simPLE: learning to grasp only with CAD 🦀
👉simPLE learns to pick, regrasp & place objects precisely, given only the object CAD model and no prior experience
😎Review https://t.ly/ab5pA
😎Paper arxiv.org/pdf/2307.13133.pdf
😎Project mcube.mit.edu/research/simPLE.html
👉simPLE learns to pick, regrasp & place objects precisely, given only the object CAD model and no prior experience
😎Review https://t.ly/ab5pA
😎Paper arxiv.org/pdf/2307.13133.pdf
😎Project mcube.mit.edu/research/simPLE.html
❤4🔥2👍1👏1🤯1
This media is not supported in your browser
VIEW IN TELEGRAM
🐧 Track Anything in HQ 🐧
👉Video multi-object segmenter (VMOS) and a mask refiner (MR) to track anything
😎Review https://t.ly/hAvF2
😎Paper arxiv.org/pdf/2307.13974.pdf
😎Code github.com/jiawen-zhu/HQTrack
👉Video multi-object segmenter (VMOS) and a mask refiner (MR) to track anything
😎Review https://t.ly/hAvF2
😎Paper arxiv.org/pdf/2307.13974.pdf
😎Code github.com/jiawen-zhu/HQTrack
🔥5🤯2👍1🤩1
🥬Consensus-Adaptive RANSAC🥬
👉Novel RANSAC that learns to explore the parameter space via a novel attention layer
😎Review https://t.ly/eSLmD
😎Paper arxiv.org/pdf/2307.14030.pdf
😎Code github.com/cavalli1234/CA-RANSAC
👉Novel RANSAC that learns to explore the parameter space via a novel attention layer
😎Review https://t.ly/eSLmD
😎Paper arxiv.org/pdf/2307.14030.pdf
😎Code github.com/cavalli1234/CA-RANSAC
🔥7🤯3😱1🍾1
This media is not supported in your browser
VIEW IN TELEGRAM
🍡 DWPose: 2-stage Pose Distillation 🍡
👉 Tsinghua (+IDEA) unveils a novel two-stage pose Distillation for whole-body pose estimation.
😎Review https://t.ly/BSi20
😎Paper arxiv.org/pdf/2307.15880.pdf
😎Code github.com/IDEA-Research/DWPose
👉 Tsinghua (+IDEA) unveils a novel two-stage pose Distillation for whole-body pose estimation.
😎Review https://t.ly/BSi20
😎Paper arxiv.org/pdf/2307.15880.pdf
😎Code github.com/IDEA-Research/DWPose
🤯7❤2👍1🔥1🤩1
This media is not supported in your browser
VIEW IN TELEGRAM
👗 Multimodal Neural Designer 👗
👉 Multimodal #AI that can generate novel fashion images conditioned on text, keypoints, and sketches
😎Review https://t.ly/zVk70
😎Paper arxiv.org/pdf/2304.02051.pdf
😎Code github.com/aimagelab/multimodal-garment-designer
👉 Multimodal #AI that can generate novel fashion images conditioned on text, keypoints, and sketches
😎Review https://t.ly/zVk70
😎Paper arxiv.org/pdf/2304.02051.pdf
😎Code github.com/aimagelab/multimodal-garment-designer
🥰6❤4🤩3🔥2⚡1
This media is not supported in your browser
VIEW IN TELEGRAM
📸 Computational Burst Photography in App 📸
👉#Google unveils a novel computational burst system to democratize the professional photography via smartphone
😎Review https://t.ly/5ibJX
😎Paper arxiv.org/pdf/2308.01379.pdf
😎Project https://motion-mode.github.io
👉#Google unveils a novel computational burst system to democratize the professional photography via smartphone
😎Review https://t.ly/5ibJX
😎Paper arxiv.org/pdf/2308.01379.pdf
😎Project https://motion-mode.github.io
🔥6🥰3👍2🤩1
This media is not supported in your browser
VIEW IN TELEGRAM
🎠Neural Closed-Loop Simulator🎠
👉A neural sensor simulator that takes a single recorded log captured by a sensor-equipped vehicle and converts it into a realistic closed-loop multi-sensor simulation
😎Review https://t.ly/EcRLc
😎Paper arxiv.org/pdf/2308.01898.pdf
😎Project https://waabi.ai/unisim/
👉A neural sensor simulator that takes a single recorded log captured by a sensor-equipped vehicle and converts it into a realistic closed-loop multi-sensor simulation
😎Review https://t.ly/EcRLc
😎Paper arxiv.org/pdf/2308.01898.pdf
😎Project https://waabi.ai/unisim/
🤯8🤩3❤2👍2🔥1👏1
🙏 A quick poll for helping me in improving the quality of the contents about #computervision.
Please give me a feedback here: https://t.ly/qXb4C
Thanks :)
Please give me a feedback here: https://t.ly/qXb4C
Thanks :)
❤17👍7🥰1
AI with Papers - Artificial Intelligence & Deep Learning pinned «🙏 A quick poll for helping me in improving the quality of the contents about #computervision. Please give me a feedback here: https://t.ly/qXb4C Thanks :)»
This media is not supported in your browser
VIEW IN TELEGRAM
🪛 HANDAL: Real-World Manipulable Objects 🪛
👉 #Nvidia unveils HANDAL dataset: category-level object pose and affordance prediction
😎Review https://t.ly/MXZDI
😎Paper arxiv.org/pdf/2308.01477.pdf
😎Dataset wenbowen123.github.io/handaldataset
👉 #Nvidia unveils HANDAL dataset: category-level object pose and affordance prediction
😎Review https://t.ly/MXZDI
😎Paper arxiv.org/pdf/2308.01477.pdf
😎Dataset wenbowen123.github.io/handaldataset
👍8🔥3❤1🤩1
This media is not supported in your browser
VIEW IN TELEGRAM
🎨 Interactive Neural Painting 🎨
👉 Novel AI-powered tool to help artists in completing their artworks
😎Review https://t.ly/ELUb0
😎Paper arxiv.org/pdf/2307.16441.pdf
😎Project helia95.github.io/inp-website
😎Supp helia95.github.io/inp-website/supp_mat.html
👉 Novel AI-powered tool to help artists in completing their artworks
😎Review https://t.ly/ELUb0
😎Paper arxiv.org/pdf/2307.16441.pdf
😎Project helia95.github.io/inp-website
😎Supp helia95.github.io/inp-website/supp_mat.html
🤩4🤯2❤1👍1😱1
This media is not supported in your browser
VIEW IN TELEGRAM
👩🚀 HD Avatar via Text & Pose 👩🚀
👉 Generating expressive #3D avatars from nothing but text denoscriptions & pose guidance
😎Review https://t.ly/wrSMH
😎Paper arxiv.org/pdf/2308.03610.pdf
😎Project avatarverse3d.github.io
👉 Generating expressive #3D avatars from nothing but text denoscriptions & pose guidance
😎Review https://t.ly/wrSMH
😎Paper arxiv.org/pdf/2308.03610.pdf
😎Project avatarverse3d.github.io
❤7🥰4👍1🤯1
This media is not supported in your browser
VIEW IN TELEGRAM
🐘 Controllable Synthetic Data (extending Image-Net) 🐘
👉#META's PUG, a new generation of interactive environments for representation learning. Extending Image-Net!
😎Review https://t.ly/nCYs0
😎Paper arxiv.org/pdf/2308.03977.pdf
😎Project pug.metademolab.com
😎Code github.com/facebookresearch/PUG
👉#META's PUG, a new generation of interactive environments for representation learning. Extending Image-Net!
😎Review https://t.ly/nCYs0
😎Paper arxiv.org/pdf/2308.03977.pdf
😎Project pug.metademolab.com
😎Code github.com/facebookresearch/PUG
🔥4❤2👍1🤩1
AI with Papers - Artificial Intelligence & Deep Learning
🗽 Neuralangelo Digital Twins. INSANE🗽 👉 A novel framework from #Nvidia for Hi-Fi 3D Digital twins. 😎Review https://t.ly/rxoF4 😎Project research.nvidia.com/labs/dir/neuralangelo 😎Paper research.nvidia.com/labs/dir/neuralangelo/paper.pdf
GitHub
GitHub - NVlabs/neuralangelo: Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)
Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023) - NVlabs/neuralangelo
🔥11👍6❤2😱1
This media is not supported in your browser
VIEW IN TELEGRAM
🌈 Tracking by Persistent Dynamic View Synthesis 🌈
👉Novel simultaneous addressing of dynamic scene novel-view synthesis + 6-DOF tracking of all dense scene elements
😎Review https://t.ly/Bc535
😎Paper arxiv.org/pdf/2308.09713.pdf
😎Project dynamic3dgaussians.github.io
😎Code github.com/JonathonLuiten/Dynamic3DGaussians
👉Novel simultaneous addressing of dynamic scene novel-view synthesis + 6-DOF tracking of all dense scene elements
😎Review https://t.ly/Bc535
😎Paper arxiv.org/pdf/2308.09713.pdf
😎Project dynamic3dgaussians.github.io
😎Code github.com/JonathonLuiten/Dynamic3DGaussians
🤯10🔥3😱1