🔥🔥 #META's DINOv2 is now commercial! 🔥🔥

👉Universal features for image classification, instance retrieval, video understanding, depth & semantic segmentation. Now suitable for commercial.

😎Review https://t.ly/LNrGy
😎Paper arxiv.org/pdf/2304.07193.pdf
😎Code github.com/facebookresearch/dinov2
😎Demo dinov2.metademolab.com/

🧄FreeMan: towards #3D Humans 🧄

👉FreeMan: the first large-scale, real-world, multi-view dataset for #3D human pose estimation. 11M frames!

😎Review https://t.ly/ICxpA
😎Paper arxiv.org/pdf/2309.05073.pdf
😎Project wangjiongw.github.io/freeman

🦊 MagiCapture: HD Multi-Concept Portrait 🦊

👉KAIST unveils MagiCapture: integrating subject and style concepts to generate high-resolution portrait images using just a few subject and style references

😎Review https://t.ly/c9rOo
😎Paper https://arxiv.org/pdf/2309.06895.pdf

⚽ Dynamic NeRFs for Soccer ⚽

👉SoccerNeRF: first attempt of "cheap" NeRF applied to football for reconstructing soccer replays in space and time.

😎Review https://t.ly/Ywcvk
😎Paper arxiv.org/pdf/2309.06802.pdf
😎Project https://soccernerfs.isach.be/
😎Code github.com/iSach/SoccerNeRFs

☢️ GlueStick: Graph Neural Matching ☢️

👉GlueStick is joint deep matcher for points and lines that leverages the connectivity information between nodes to better glue them together

😎Review https://t.ly/Atxqo
😎Paper arxiv.org/pdf/2304.02008.pdf
😎Code https://github.com/cvg/GlueStick

🫀CPR-Coach: Neural Cardiopulmonary Resuscitation🫀

👉CPR-Coach: fine-grained action recognition in cardiopulmonary resuscitation

😎Review https://t.ly/Qbg4K
😎Paper arxiv.org/pdf/2309.11718.pdf
😎Code github.com/Shunli-Wang/CPR-Coach
😎Project shunli-wang.github.io/CPR-Coach

🧪 NeuralLabeling with NeRF 🧪

👉Annotating a scene by generating segmentation masks, affordance maps, 2D bounding boxes, 3D BB, 6DOF poses, depth & meshes.

😎Review https://t.ly/1GPsj
😎Paper arxiv.org/pdf/2309.11966.pdf
😎Code github.com/FlorisE/neural-labeling
😎Project florise.github.io/neural_labeling_web

🍟 DE-ViT: detecting everything via DINOv2 🍟

👉DE-ViT: open-set object detector based on DINOv2 backbone. It's the new SOTA on COCO & LVIS dataset

😎Review https://t.ly/_DAmt
😎Paper arxiv.org/pdf/2309.12969.pdf
😎Code https://github.com/mlzxy/devit

🛵CoTracker: fast transformer-tracker🛵

👉META's CoTracker is a fast transformer-based model that can track any point in a video

😎Review https://t.ly/M36A_
😎Paper arxiv.org/pdf/2307.07635.pdf
😎Project https://co-tracker.github.io/
😎Code github.com/facebookresearch/co-tracker

🌬️ Neural Blowing in Still Photos 🌬️

👉 A novel approach to animate human hair (and clothes) in a still portraits

😎Review https://t.ly/HKG0t
😎Paper arxiv.org/pdf/2309.14207.pdf
😎Project nevergiveu.github.io/AutomaticHairBlowing

🌮 OW Indoor Segmentation 🌮

👉3D-OWIS is a novel open-world 3D indoor instance segmentation method (with auto-labeling scheme) to separate known/unknown category labels

😎Review https://t.ly/-7ALf
😎Paper arxiv.org/pdf/2309.14338.pdf
😎Code github.com/aminebdj/3D-OWIS

🧱 Generating Scenes from Touch 🧱

👉#AI for synthesizing images from tactile signals (and vice versa) and apply it to a number of visuo-tactile synthesis tasks

😎Review https://t.ly/Gxr0L
😎Paper https://arxiv.org/pdf/2309.15117.pdf
😎Project https://fredfyyang.github.io/vision-from-touch
😎Code https://github.com/fredfyyang/vision-from-touch

☕Decaf: 3D Face-Hand Interactions☕

👉The first learning-based MoCap to track human hands interacting with human faces in #3D from single monocular RGB videos

😎Review https://t.ly/070Tj
😎Paper arxiv.org/pdf/2309.16670.pdf
😎Project vcai.mpi-inf.mpg.de/projects/Decaf

🌱 Making LLaMA See and Draw 🌱

👉Tencent #AI planted a SEED of Vision in Large Language Model. Making LLaMA see 'n' draw stuff.

😎Review https://t.ly/QiCAv
😎Paper arxiv.org/pdf/2310.01218.pdf
😎Code github.com/AILab-CVC/SEED

🔥Visual-Math Q&A: MathVista is out! 🔥

👉 MathVista is the ultimate benchmark designed to amalgamate challenges from diverse mathematical and visual tasks

😎Review https://t.ly/yfqHZ
😎Paper https://arxiv.org/pdf/2310.02255.pdf
😎Project https://mathvista.github.io/
😎Code github.com/lupantech/MathVista

💚💙 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