💚💙 Where Is OpenCV 5? 💙💚

👉On October 24th, the organization is launching a crowdfunding campaign to raise funds for #OpenCV 5 development.

👆me in 2008 during my thesis work about face tracking; up to 50x faster than the previous SOTA. No chance to did it without OpenCV library and support from the community.

🔥Support #OpenCV 5 to create the next-gen of researchers and scientists. Spread the voice: https://t.ly/UTukV

🏊SwimXYZ: Synthetic Swim🏊

👉SwimXYZ: synthetic dataset for swimming, monocular videos annotated with ground truth 2D and 3D joints

😎Review https://t.ly/F-rdF
😎Paper arxiv.org/pdf/2310.04360.pdf
😎Data g-fiche.github.io/research-pages/swimxyz

📊 TextPSG: PSG from Text 📊

👉A novel problem in #AI: Panoptic Scene Graph Generation from Purely Textual Descriptions (Caption-toPSG)

😎Review https://t.ly/UXEmk
😎Paper arxiv.org/pdf/2310.07056.pdf
😎Project vis-www.cs.umass.edu/TextPSG
😎Code github.com/chengyzhao/TextPSG

🙋 Full Human Motion 🙋

👉OmniControl by Google is novel framework for text-conditioned human motion generation model based on diffusion process

😎Review https://t.ly/F_0Ov
😎Paper arxiv.org/pdf/2310.08580.pdf
😎Project neu-vi.github.io/omnicontrol/

🦹‍♀️ Snap's Hyper-Realistic Human 🦹‍♀️

👉New diffusive #AI by Snap that generates in-the-wild human images with hyper-realism. Swipe the gallery, NUTS!👇

😎Gallery https://t.ly/cG74X
😎Paper arxiv.org/pdf/2310.08579.pdf
😎Project snap-research.github.io/HyperHuman
😎Code github.com/snap-research/HyperHuman

👗AG3D clothed avatar from 2D👗

👉The novel SOTA in adversarial generative of realistic 3D people

😎Review https://t.ly/vnJO7
😎Project https://zj-dong.github.io/AG3D
😎Code https://github.com/zj-dong/AG3D
😎Paper zj-dong.github.io/AG3D/assets/paper.pdf

🌱Pose-Format: All-in-One Pose🌱

👉 Pose-format: a comprehensive toolkit designed for human pose: unified, flexible, and easy-to-use

😎Review https://t.ly/rFrhq
😎Paper arxiv.org/pdf/2310.09066.pdf
😎Code github.com/sign-language-processing/pose

😻 CatFLW: Cat Neural Landmarks 😻

👉Landmark convolution neural network-based model for cat faces

😎Review https://t.ly/Y3mQ8
😎Paper arxiv.org/pdf/2305.04232.pdf
😎Dataset www.tech4animals.org/catflw

🍡4K4D: Real-Time 4D at 4K🍡

👉THE new SOTA in view synthesis of dynamic 3D scenes at 4K. 30x faster, up to 400 FPS. Nuts!

😎Review https://t.ly/6ddQh
😎Paper arxiv.org/pdf/2310.11448.pdf
😎Project zju3dv.github.io/4k4d/
😎Code github.com/zju3dv/4K4D

🛣️ Holistic Parking Detection (YOLO) 🛣️

👉 One-step Holistic Parking Slot Network: a tailor-made adaptation of YOLOv4 algorithm for all-shaped parking slot detection

😎Review https://t.ly/2l4ZG
😎Paper arxiv.org/pdf/2310.11629.pdf

🍈 Cutie: VOS with heavy occlusions🍈

👉Cutie: novel VOS for challenging scenarios with heavy occlusions & distractors

😎Review https://t.ly/W3FR-
😎Paper arxiv.org/pdf/2310.12982.pdf
😎Project https://hkchengrex.com/Cutie
😎Code https://github.com/hkchengrex/Cutie

🧡 Rotoscoping Prince Of Persia (1985) 🧡

👉 A rare footage for the animation of Prince of Persia (1989). Damn Romantic.

😎 More https://t.ly/xJife

🪛PACE: new SOTA Motion🪛

👉#Nvidia unveils the novel SOTA to estimate the human motion in a global scene from moving cams. Stunning results.

😎Review https://t.ly/20you
😎Project https://nvlabs.github.io/PACE
😎Paper https://arxiv.org/pdf/2310.13768.pdf

🥤NanoSAM: SAM on low-cost boards🥤

👉NanoSAM is a Segment Anything variant capable of running in real-time on #NVIDIA Jetson Orin with TensorRT

😎Review https://t.ly/UErq_
😎Tutorial https://github.com/NVIDIA-AI-IOT/nanosam

🧂 SOTA RGB-D Video Salient Object 🧂

👉 DCTNet+ (model) and RDVS(dataset) for a new SOTA in Video Saliency Object Detection

😎Review https://t.ly/DapLV
😎Code github.com/kerenfu/RDVS
😎Paper arxiv.org/pdf/2310.15482.pdf

✌️ Relighted 3D Hands 🤞

👉#META unveils Re:InterHand: a large dataset of relighted 3D interacting hands

😎Review https://t.ly/I1dQk
😎Paper arxiv.org/pdf/2310.17768.pdf
😎Project mks0601.github.io/ReInterHand
😎Data github.com/mks0601/ReInterHand

🍄 Video Understanding with GPT-4V(ision) 🍄

👉 #Microsoft unveils MM-Vid, the most advanced video understanding framework (w/ #chatgpt4). Impressive results on long-form videos & intricate tasks such as audio description & multimodal high-level comprehension

😎Review https://t.ly/RISMm
😎Paper arxiv.org/pdf/2310.19773.pdf
😎Project https://multimodal-vid.github.io

👣 Foot via Synthetic Data 👣

👉 50,000 synthetic/photorealistic foot images + a novel SOTA library for foot

😎Review https://t.ly/TVanP
😎Paper https://arxiv.org/pdf/2310.18279.pdf
😎Project https://ollieboyne.github.io/FOUND
😎Code https://github.com/OllieBoyne/FOUND

🚛 OYSTER: unsupervised detection w/ LIDAR 🚛

👉Waabi unveils OYSTER: a novel unsupervised object detection from LiDAR point clouds.

😎Review https://t.ly/EMi58
😎Project https://waabi.ai/oyster/
😎Paper arxiv.org/pdf/2311.02007.pdf

🔥GPT-4 Pass the Turing Test?🔥

👉No. I mean...not yet. Read this Paper from UC San Diego👇

😎Review https://t.ly/o8HgM
😎Paper https://arxiv.org/pdf/2310.20216.pdf