🧪 Click-Attention Segmentation 🧪

👉An interesting image patch-based click attention algorithm and an affinity loss inspired by SASFormer. This novel approach aims to decouple positive and negative clicks, guiding positive ones to focus on the target object and negative ones on the background. Code released under Apache💙

👉Review https://t.ly/tG05L
👉Paper https://arxiv.org/pdf/2408.06021
👉Code https://github.com/hahamyt/ClickAttention

🏗️ #Adobe Instant TurboEdit 🏗️

👉Adobe unveils a novel real-time text-based disentangled real image editing method built upon 4-step SDXL Turbo. SOTA HQ image editing using ultra fast few-step diffusion. No code announced but easy to guess it will be released in commercial tools.

👉Review https://t.ly/Na7-y
👉Paper https://lnkd.in/dVs9RcCK
👉Project https://lnkd.in/dGCqwh9Z
👉Code 😢

🦓 Zebra Detection & Pose 🦓

👉The first synthetic dataset that can be used for both detection and 2D pose estimation of zebras without applying any bridging strategies. Code, results, models, and the synthetic, training/validation data, including 104K manually labeled images open-sourced💙

👉Review https://t.ly/HTEZZ
👉Paper https://lnkd.in/dQYT-fyq
👉Project https://lnkd.in/dAnNXgG3
👉Code https://lnkd.in/dhvU97xD

🦧Sapiens: SOTA ViTs for human🦧

👉META unveils Sapiens, a family of models for human-centric vision tasks: 2D pose estimation, body-part segmentation, depth estimation, and surface normal prediction. Source Code announced, coming💙

👉Review https://t.ly/GKQI0
👉Paper arxiv.org/pdf/2408.12569
👉Project rawalkhirodkar.github.io/sapiens
👉Code github.com/facebookresearch/sapiens

🔥🔥🔥🔥🔥 SOURCE CODE IS OUT !!! 🔥🔥🔥🔥🔥

Thanks Danny for the info 🥇

🐺 Diffusion Game Engine 🐺

👉#Google unveils GameNGen: the first game engine powered entirely by a neural #AI that enables real-time interaction with a complex environment over long trajectories at HQ. No code announced but I love it 💙

👉Review https://t.ly/_WR5z
👉Paper https://lnkd.in/dZqgiqb9
👉Project https://lnkd.in/dJUd2Fr6

🫒 Omni Urban Scene Reconstruction 🫒

👉OmniRe is novel holistic approach for efficiently reconstructing HD dynamic urban scenes from on-device logs. It's able to create the simulation of reconstructed scenarios with actors in real-time (~60 Hz). Code released💙

👉Review https://t.ly/SXVPa
👉Paper arxiv.org/pdf/2408.16760
👉Project ziyc.github.io/omnire/
👉Code github.com/ziyc/drivestudio

💄Interactive Drag-based Editing💄

👉CSE unveils InstantDrag: novel pipeline designed to enhance editing interactivity and speed, taking only an image and a drag instruction as input. Source Code announced, coming💙

👉Review https://t.ly/hy6SL
👉Paper arxiv.org/pdf/2409.08857
👉Project joonghyuk.com/instantdrag-web/
👉Code github.com/alex4727/InstantDrag

🌭Hand-Object interaction Pretraining🌭

👉Berkeley unveils HOP, a novel approach to learn general robot manipulation priors from 3D hand-object interaction trajectories.

👉Review https://t.ly/FLqvJ
👉Paper https://arxiv.org/pdf/2409.08273
👉Project https://hgaurav2k.github.io/hop/

🧸Motion Instruction Fine-Tuning🧸

👉MotIF is a novel method that fine-tunes pre-trained VLMs to equip the capability to distinguish nuanced robotic motions with different shapes and semantic groundings. A work by MIT, Stanford, and CMU. Source Code announced, coming💙

👉Review https://t.ly/iJ2UY
👉Paper https://arxiv.org/pdf/2409.10683
👉Project https://motif-1k.github.io/
👉Code coming

⚽ SoccerNet 2024 Results ⚽

👉SoccerNet is the annual video understanding challenge for football. These challenges aim to advance research across multiple themes in football. The 2024 results are out!

👉Review https://t.ly/DUPgx
👉Paper arxiv.org/pdf/2409.10587
👉Repo github.com/SoccerNet
👉Project www.soccer-net.org/

🌏 JoyHallo: Mandarin Digital Human 🌏

👉JD Health faced the challenges of audio-driven video generation in Mandarin, a task complicated by the language’s intricate lip movements and the scarcity of HQ datasets. Impressive results (-> audio ON). Code Models available💙

👉Review https://t.ly/5NGDh
👉Paper arxiv.org/pdf/2409.13268
👉Project jdh-algo.github.io/JoyHallo/
👉Code github.com/jdh-algo/JoyHallo

🎢 Robo-quadruped Parkour🎢

👉LAAS-CNRS unveils a novel RL approach to perform agile skills that are reminiscent of parkour, such as walking, climbing high steps, leaping over gaps, and crawling under obstacles. Data and Code available💙

👉Review https://t.ly/-6VRm
👉Paper arxiv.org/pdf/2409.13678
👉Project gepetto.github.io/SoloParkour/
👉Code github.com/Gepetto/SoloParkour

🩰 Dressed Humans in the wild 🩰

👉ETH (+ #Microsoft ) ReLoo: novel 3D-HQ reconstruction of humans dressed in loose garments from mono in-the-wild clips. No prior assumptions about the garments. Source Code announced, coming 💙

👉Review https://t.ly/evgmN
👉Paper arxiv.org/pdf/2409.15269
👉Project moygcc.github.io/ReLoo/
👉Code github.com/eth-ait/ReLoo

🌾 New SOTA Edge Detection 🌾

👉CUP (+ ESPOCH) unveils the new SOTA for Edge Detection (NBED); superior performance consistently across multiple benchmarks, even compared with huge computational cost and complex training models. Source Code released💙

👉Review https://t.ly/zUMcS
👉Paper arxiv.org/pdf/2409.14976
👉Code github.com/Li-yachuan/NBED

👩‍🦰 SOTA Gaussian Haircut 👩‍🦰

👉ETH et. al unveils Gaussian Haircut, the new SOTA in hair reconstruction via dual representation (classic + 3D Gaussian). Code and Model announced💙

👉Review https://t.ly/aiOjq
👉Paper arxiv.org/pdf/2409.14778
👉Project https://lnkd.in/dFRm2ycb
👉Repo https://lnkd.in/d5NWNkb5

🍇SPARK: Real-time Face Capture🍇

👉Technicolor Group unveils SPARK, a novel high-precision 3D face capture via collection of unconstrained videos of a subject as prior information. New SOTA able to handle unseen pose, expression and lighting. Impressive results. Code & Model announced💙

👉Review https://t.ly/rZOgp
👉Paper arxiv.org/pdf/2409.07984
👉Project kelianb.github.io/SPARK/
👉Repo github.com/KelianB/SPARK/

🦴 One-Image Object Detection 🦴

👉Delft University (+Hensoldt Optronics) introduces OSSA, a novel unsupervised domain adaptation method for object detection that utilizes a single, unlabeled target image to approximate the target domain style. Code released💙

👉Review https://t.ly/-li2G
👉Paper arxiv.org/pdf/2410.00900
👉Code github.com/RobinGerster7/OSSA

🛳️ EVER Ellipsoid Rendering 🛳️

👉UCSD & Google present EVER, a novel method for real-time differentiable emission-only volume rendering. Unlike 3DGS it does not suffer from popping artifacts and view dependent density, achieving ∼30 FPS at 720p on #NVIDIA RTX4090.

👉Review https://t.ly/zAfGU
👉Paper arxiv.org/pdf/2410.01804
👉Project half-potato.gitlab.io/posts/ever/

🔥 "Deep Gen-AI" Full Course 🔥

👉A fresh course from Stanford about the probabilistic foundations and algorithms for deep generative models. A novel overview about the evolution of the genAI in #computervision, language and more...

👉Review https://t.ly/ylBxq
👉Course https://lnkd.in/dMKH9gNe
👉Lectures https://lnkd.in/d_uwDvT6