🤖 META Human-Robot 🤖

👉#META PARTNR: novel benchmark for Planning And Reasoning Tasks in humaN-Robot collaboration. The largest benchmark of its kind: 100,000+ natural language tasks, spanning 60 houses and 5,819 unique objects. Code & Data (🤗) under MIT💙

👉Review https://t.ly/zcN0K
👉Paper arxiv.org/pdf/2411.00081
👉Repo github.com/facebookresearch/partnr-planner
🤗Data huggingface.co/datasets/ai-habitat/partnr_episodes

💃HumanDiT Long-form Human💃

👉HumanDiT is a novel pose-guided Diffusion trained on a large and wild dataset w/ 14,000 hours of HQ video to produce HD videos with fine-grained bodies. Stunning results but no code announced🥲

👉Review https://t.ly/7rTRr
👉Paper https://arxiv.org/pdf/2502.04847
👉Project https://agnjason.github.io/HumanDiT-page/

🔮Flow-Based Foundation GenAI🔮

👉Goku is the novel SOTA family of joint image-and-video generation models leveraging rectified flow Transformers to achieve industry-leading performance. Amazing results! Repo released (now, empty)💙

👉Review https://t.ly/dzi0O
👉Paper http://arxiv.org/pdf/2502.04896
👉Project saiyan-world.github.io/goku/
👉Repo github.com/Saiyan-World/goku

🥛HAMSTER: Hierarchical VLA Manipulation🥛

👉#Nvidia unveils HAMSTER: novel Hierarchical VLA architecture to enable robotic manipulation with semantic, visual & geometric generalization trained on easy to collect, off-domain data. Source Code announced💙

👉Review https://t.ly/2yXaY
👉Paper https://arxiv.org/pdf/2502.05485
👉Project https://hamster-robot.github.io/
👉Repo TBA

🦶 It's all About Foot 🦶

👉 A collection of three works all about human foot: synthetic foot renders, reconstruction and surface normals. Repos & Datasets available💙

👉Review https://t.ly/GY8mL
👉Paper (last) arxiv.org/pdf/2502.06367
👉Projects www.ollieboyne.com/
👉Repo github.com/OllieBoyne/FOUND
👉Repo github.com/OllieBoyne/SynFoot
👉Repo github.com/OllieBoyne/FOCUS (coming)

🪛 Make anything "Rig-Ready" 🪛

👉RigAnything is a novel autoregressive transformer-based model, which makes 3D assets rig-ready by probabilistically generating joints, skeleton topologies, and assigning skinning weights in a template-free manner. Online demo announced💙

👉Review https://t.ly/bNwxq
👉Paper arxiv.org/pdf/2502.09615
👉Project www.liuisabella.com/RigAnything

🔥 Animate Anyone 2 🔥

👉 The evolution of the first version that enables character animation w/ environment affordance. Amazing results but no code announced 🥲

👉Review https://t.ly/iNNLB
👉Paper https://arxiv.org/pdf/2502.06145
👉Project https://humanaigc.github.io/animate-anyone-2

🔥Large Language DIFFUSION Model🔥

👉Renmin University introduces LLaDA, a DIFFUSION model trained entirely from scratch, rivaling LLaMA3 8B in performance. Pre-trained from scratch on 2.3T tokens using 0.13M H800 GPU hours, followed by SFT on 4.5M pairs. A new paradigm is born? Repo by the end of Feb.25 💙

👉Review https://t.ly/7Cnrh
👉Paper https://lnkd.in/dCWi3byk
👉Project https://lnkd.in/dB7JRYeA
👉Repo https://lnkd.in/dAqzeCHJ

🌈Unified Low-Level 4D Vision🌈

👉#Nvidia L4P is a novel feedforward, general-purpose, architecture to solve low-level 4D perception tasks in a unified framework. L4P combines a ViTbased backbone with per-task heads that are lightweight and therefore do not require extensive training. One backbone - many SOTAs. Code announced 💙

👉Review https://t.ly/04DGj
👉Paper arxiv.org/pdf/2502.13078
👉Project research.nvidia.com/labs/lpr/l4p/
👉Repo TBA

🔥 YOLOv12 is out (new SOTA) 🔥

👉YOLOv12 is a novel attention-centric YOLO framework that matches the speed of previous CNN-based ones while harnessing the performance benefits of attention mechanisms. Source Code & Demo released💙

👉Review https://t.ly/jj1oR
👉Paper arxiv.org/pdf/2502.12524
👉Repo github.com/sunsmarterjie/yolov12
🤗Demo https://t.ly/w5rno

👽Neural-Free Sparse Voxels Rasterization👽

👉#Nvidia unveils a novel efficient radiance field rendering algorithm that incorporates a rasterization process on adaptive sparse voxels without neural networks or 3D Gaussians. Code released (custom license)💙

👉Review https://t.ly/Nh_ic
👉Paper https://lnkd.in/g8k8Zs6R
👉Project https://lnkd.in/gR-bD4Wx
👉Repo https://lnkd.in/gNHX-w4t

🏉MITracker: Multi-View Track🏉

👉MITracker is a novel Multi-View Integration Tracker to efficiently integrate multi-view object features and provide stable tracking. Code & Dataset announced💙

👉Review https://t.ly/RTNUo
👉Paper arxiv.org/pdf/2502.20111
👉Repo github.com/XuM007/MITracker
👉Project xum007.github.io/MITracker.github.io

🧠 Distractor-Aware SAM2 🧠

👉A novel distractor-aware memory for SAM2 and an introspection-based update strategy for VOT. Code & Dataset released💙

👉Review https://t.ly/RBRpQ
👉Paper arxiv.org/pdf/2411.17576
👉Project jovanavidenovic.github.io/dam-4-sam
👉Repo github.com/jovanavidenovic/DAM4SAM/

🔥Distill-Any-Depth: SOTA MDE🔥

👉Distill-Any-Depth is the new SOTA monocular depth estimation model trained with a novel knowledge distillation. Authors: ZJUT, WestLake University, LZU & NTU. Source Code, pre-trained models & HF-demo released💙

👉Review https://t.ly/GBJgi
👉Paper arxiv.org/pdf/2502.19204
👉Repo https://lnkd.in/dPtxNrQh
🤗Demo https://lnkd.in/d2TMPf4b

🍎FindTrack: text-driven VOS 🍎

👉Yonsei University introduces FindTrack, a novel decoupled framework that separates text-driven target ID from mask propagation. Impressive results (even under severe occlusions), new SOTA. Source Code & models to be released💙

👉Review https://t.ly/2smaF
👉Paper arxiv.org/pdf/2503.03492
👉Repo github.com/suhwan-cho/FindTrack

📒 Moving-Camera Diffusion 📒

👉Tencent unveils TrajectoryCrafter, a novel approach to redirect camera trajectories for monocular videos. Impressive results, the future of commercial #adv. Code & Demo released💙

👉Review https://t.ly/L-IoR
👉Paper https://arxiv.org/pdf/2503.05638
👉Project https://trajectorycrafter.github.io/
👉Repo github.com/TrajectoryCrafter/TrajectoryCrafter
🤗Demo https://huggingface.co/spaces/Doubiiu/TrajectoryCrafter

💙 Announcing #Py4AI 2025 💙

👉 The second edition of Py4AI conference is official! An all-day, fully free, event for #AI & #Python lovers.

𝐓𝐡𝐞 𝐟𝐢𝐫𝐬𝐭 𝐛𝐚𝐭𝐜𝐡 𝐨𝐟 𝐬𝐩𝐞𝐚𝐤𝐞𝐫𝐬:
🚀Dana Aubakirova | Hugging Face🤗
🚀Yunhao Liu & Ruoya Sheng | ByteDance🔥
🚀Alice Casiraghi | 🌏🌎🌍
🚀Luca Arrotta, PhD | Datapizza🍕
🚀Valeria Zuccoli | Bettini Srl
🚀Mirco Planamente | ARGO Vision
🚀Daniele Zonca | Red Hat

👉 Info & registration: https://t.ly/37wWj

🎯RexSeek: Referring Any Object🎯

👉Novel referring detection model based on multimodal LLM to precisely locate objects based on user-input natural language. Model specialization on humans. Code released 💙

👉Review https://shorturl.at/CGsT2
👉Paper arxiv.org/pdf/2503.08507
👉Code github.com/IDEA-Research/RexSeek

🐶OVTR: E2E Transformer MOT🐶

👉HUST University proposes OVTR (End-to-End Open-Vocabulary Multiple Object Tracking with TRansformer), the first end-to-end open-vocabulary tracker that models motion, appearance, and category simultaneously. Source Code released under MIT💙

👉Review https://t.ly/K3ASX
👉Paper arxiv.org/pdf/2503.10616
👉Code https://github.com/jinyanglii/OVTR