Latest posts
AI with Papers - Artificial Intelligence & Deep Learning
25 Sept, 06:30
🩻Universal X-ray Segmentation🩻👉FleXray: universal anatomical segmentation across the entire body in clinical X-rays. Built on a scalable, physics-based generative X-ray data engine. Repo under MIT💙👉Review https://lnkd.in/p/e9MUk_eq 👉Paper https://arxiv.org/pdf/2609.26756 👉Project https://flexray.csail.mit.edu/ 👉Repo https://github.com/VictorButoi/FleXrayAI with Papers - Artificial Intelligence & Deep Learning
24 Sept, 12:29
🍿PanoSeg3R: SOTA 3D Segmentation🍿👉PanoSeg3R is a novel feed-forward framework for 3D panoramic semantic segmentation. New SOTA. Code coming💙👉Review https://lnkd.in/p/eKCKWv3g 👉Paper https://arxiv.org/pdf/2609.22687 👉Project https://harryyoon777.github.io/PanoSeg3R/# 👉Repo TBAAI with Papers - Artificial Intelligence & Deep Learning
23 Sept, 10:47edited
🔥Agentic Image-to-Scene🔥👉HARMONY by UPenn is a hierarchical chain-of-thought framework that leverages both agentic reasoning and visual geometry foundation. Impressive 3D scenes. Repo TBA💙👉Review https://lnkd.in/p/ep2hmRSp 👉Paper https://arxiv.org/pdf/2609.26793 👉Project https://cwchenwang.github.io/harmony/ 👉Data https://huggingface.co/datasets/ShufanSun/harmonyAI with Papers - Artificial Intelligence & Deep Learning
18 Sept, 06:35
+++ Breaking +++
AI with Papers - Artificial Intelligence & Deep Learning
18 Sept, 06:03edited
💦SOTA Splashing Liquids💦👉SplashSplat reconstructs splashing liquids from real multi-view vide. Impose physical structure only where the observations can constrain it. Impressive results, SOTA. Code TBR under MIT💙👉Review https://lnkd.in/p/ejMTHcp7 👉Paper https://arxiv.org/pdf/2609.20818 👉Project niko-creater.github.io/splashsplat-web/ 👉Repo https://github.com/Niko-creater/SplashsplatAI with Papers - Artificial Intelligence & Deep Learning
16 Sept, 07:04
👋 EventEgoHands++ is out! 👋👉EventEgoHands++ is a novel framework for event-based 3D hand mesh reconstruction from an egocentric viewpoint. 1M+ samples dataset! Code/Data released💙👉Review https://lnkd.in/p/eTbPvXbW 👉Paper https://arxiv.org/pdf/2609.17189 👉Repo https://github.com/ryhara/EventEgoHandsV2 👉Project https://ryhara.github.io/EventEgoHandsV2/AI with Papers - Artificial Intelligence & Deep Learning
15 Sept, 06:26
🔥 RelateAnything is gold! 🔥👉RelateAnything is a 53M-parameter relation model that takes an image and a set of regions from any source and returns scored relations over a predicate vocabulary supplied at inference as a list of strings. Impressive results. Repo under Apache 2.0💙👉Review https://lnkd.in/p/etAcdFM3 👉Paper https://arxiv.org/pdf/2609.12552 👉Repo https://github.com/Maelic/RelateAnything 👉Project https://maelic.github.io/RelateAnythingProject/AI with Papers - Artificial Intelligence & Deep Learning
12 Sept, 07:11
🦺Efficient/Scalable Video Pretraining🦺👉LeVJEPA1 (Yann Lecun) is the first video encoder trained under LeJEPA’s collapse-free objective, and evaluate it under frozen probing against video and image pretraining baselines retrained on identical data, in both epoch-matched and FLOP-matched regimes. Repo under MIT💙👉Review https://lnkd.in/p/eJQAm3AN 👉Paper https://lnkd.in/eCzzTiNH 👉Project https://levjepa.github.io/ 👉Repo https://lnkd.in/etiF5CDjAI with Papers - Artificial Intelligence & Deep Learning
11 Sept, 08:48
🔥🔥 Marigold V2 is out 🔥🔥👉Marigold V2 is out: depth, (impressive) see-through depth, surface normals, albedo, and other dense modalities. SOTA results. Repo under Apache 2.0💙#AI #deeplearning #AIwithPapers👉Review https://lnkd.in/p/eKM44yDQ 👉Paper https://arxiv.org/pdf/2609.08084 👉Repo https://github.com/huawei-bayerlab/marigold-v2 👉Project https://huggingface.co/spaces/huawei-bayerlab/marigold-v2-webAI with Papers - Artificial Intelligence & Deep Learning
11 Sept, 06:37
🏀McByte++ tracking-by-detection🏀👉McByte++ is the newer extension of McByte that advances training-free sports MOT toward long-term ID tracking, while simultaneously improving efficiency and runtime performance. Repo under Apache 2.0💙👉Review https://lnkd.in/p/e4-diVJS 👉Paper https://lnkd.in/e_Vxky-b 👉Repo https://lnkd.in/e8SeCYmkAI with Papers - Artificial Intelligence & Deep Learning
8 Sept, 08:15edited
🔥#AIwithPapers: we are 17,000+🔥👉 Even though 100+ bots are trying to join the discussion chats every day, there are 17,000 of us! Almost all of us are still humans 🧟😈 Invite -> https://t.me/AI_DeepLearningAI with Papers - Artificial Intelligence & Deep Learning
8 Sept, 07:30
👻Emerging Objs from Motion👻👉Motion boundaries provide a strong signal for object-level grouping and can be used to derive pseudo-instance supervision. Suitable for: mono-depth, 3D object detection, 3D occupancy, and end-to-end planning. Repo under Apache 2.0💙👉Review https://lnkd.in/p/eezZrSJE 👉Paper https://arxiv.org/pdf/2609.04348 👉Project https://tj12342.github.io/object-concepts-from-motion/ 👉Repo https://github.com/TJ12342/object-concepts-from-motion/tree/mainAI with Papers - Artificial Intelligence & Deep Learning
8 Sept, 07:19edited
+++ Mistral raises 3B € +++👉Discussion: https://lnkd.in/p/eVpF--VWAI with Papers - Artificial Intelligence & Deep Learning
7 Sept, 07:20
🪣Weather-Conditioned Depth Anything🪣👉Weather-Conditioned Depth Anything from Texas A&M is the new SOTA in weather-robust depth estimation. A curated mix of real and synthetic degradation datasets to extract content-independent, degradation-aware weather embeddings. Repo under Apache💙👉Review https://lnkd.in/p/eW-dsepD 👉Paper https://lnkd.in/er_MvVft 👉Project https://lnkd.in/ehXPs3C7 👉Repo https://lnkd.in/edk7Ts_rAI with Papers - Artificial Intelligence & Deep Learning
6 Sept, 09:45
🍚Vision Weight Estimation🍚👉Doppio is a novel video dataset capturing video of falling ground coffee, paired with precise, per-frame ground-truth weight measurements: OCR readings are extracted from the display, smoothed and time-lag compensated, and paired with per-frame weight annotations. Repo to be released under Apache💙👉Review https://www.linkedin.com/posts/visionarynet_computer-vision-weight-estimation-activity-7501900695457951744-ArBO 👉Paper https://lnkd.in/eHuy87SX 👉Project https://lnkd.in/e9g9zeK3 👉Repo https://lnkd.in/emUePTiqAI with Papers - Artificial Intelligence & Deep Learning
3 Sept, 11:57
🦑Unified Segmentation n' Retrieval🦑👉FoundYou gets an example of your object and it segments the same physical instance in a new image or retrieve it from a large gallery with ONE super-compact model. Repo/demo available💙👉Review https://lnkd.in/p/ex2qnKHW 👉Paper arxiv.org/pdf/2608.29917 👉Project https://lnkd.in/eNEUB_nV 👉Repo https://lnkd.in/eRyDY6UeAI with Papers - Artificial Intelligence & Deep Learning
25 Aug, 12:26
🍋🟩Remesh-Aware Mesh Deformation🍋🟩👉RADmesh is a novel generative deformation technique enhanced by remeshing. Given a text prompt, it deforms and remeshes a mesh region to form new geometric features. Repo MIT💙👉Review https://lnkd.in/p/eK6FZv9c 👉Paper https://arxiv.org/pdf/2608.17182 👉Project https://threedle.github.io/radmesh/ 👉Repo https://github.com/threedle/radmesh/AI with Papers - Artificial Intelligence & Deep Learning
25 Aug, 07:41
🐆 Anyone in 4D is out 🐆👉4DAnyone turns a casual monocular video into multi-view videos, enabling downstream 4DGS reconstruction. Full repo under Apache 2.0💙👉Review https://lnkd.in/p/ec4dzGvb 👉Paper https://arxiv.org/pdf/2608.20335 👉Project https://4danyone.github.io 👉Repo github.com/ant-research/4DAnyoneAI with Papers - Artificial Intelligence & Deep Learning
24 Aug, 15:14edited
🔥Unified Points n' Lines🔥👉ETH (+Microsoft Spatial AI Lab) unveils a novel feature extractor that jointly extracts keypoints, lines, and feature descriptors within a single lightweight net. SOTA in line detection can be achieved by adding only three convolutional layers to existing point extractor. Repo under Apache💙👉Review https://lnkd.in/p/eW8j5JZj 👉Paper https://arxiv.org/pdf/2608.19894 👉Repo https://github.com/francois141/upal
AI with Papers - Artificial Intelligence & Deep Learning
30 Jul, 11:45edited
🐠Dual-branch ID-Tracking🐠👉TIDE: tracking dense, homogeneous targets, providing a scalable dual-branch design to accommodate diverse hardware constraints. MIT license💙👉Review https://t.ly/WEDeY 👉Paper https://arxiv.org/pdf/2607.26412 👉Project https://vranlee.github.io/TIDE/ 👉Repo https://github.com/vranlee/TIDE
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