DART can generate high-quality human motions in real-time, achieving over 300 frames per second on a single RTX 4090 GPU! It combines text inputs with spatial constraints, allowing for tasks like reaching waypoints and interacting with scenes. zkf1997.github.io/DART/
続き。Ledge Climbing & Pistol Attack お試し。物理リアクションを実装したとき、もしかしたらコレが出来るのでは、と思いつつ。実際に銃撃処理をしています。ダメージ部位やリアクション方向も、それなりに正確。ちょっと残酷？💦 #UnrealEngine5 #UE5 #GameDev #IndieDev #ゲーム制作 #OpenToWork
🚀 Segment Anything Model 2 (SAM 2) is a foundation model from Meta, designed to address promptable visual segmentation in both images and videos. SAM 2 provides strong performance across a wide range of tasks and visual domains. Demo links 👇
Is this real? Think again! DEGAS: Detailed Expressions on Full-Body Gaussian Avatars. Paper: arxiv.org/abs/2408.10588 Project: initialneil.github.io/DEGAS
Love this, feel exactly the same way: "I'm tired of the complexity involved in hosting my side projects."
Apollo-7b by @AIatMeta It parsed a 24min video in just 33 seconds and found the two watch brands that appear! 🕓 Try it out yourself 👇
New "Meshtron" paper from Nvidia produces "artist-like" meshes from point clouds. This is huge for producing useable assets from scan data or text-to-model diffusion systems. Could even be a powerful retopo tool for artist modeling workflows. arxiv.org/abs/2412.09548
Excited to announce ScanNet++ v2!🎉 @chandan__yes and @liuyuehcheng have been working tirelessly to bring: 🔹1006 high-fidelity 3D scans 🔹+ DSLR & iPhone captures 🔹+ rich semantics Elevating 3D scene understanding to the next level!🚀 w/ @MattNiessner kaldir.vc.in.tum.de/scannetpp
Introducing ASAL: Automating the Search for Artificial Life with Foundation Models sakana.ai/asal/ Artificial Life (ALife) research holds key insights that can transform and accelerate progress in AI. By speeding up ALife discovery with AI, we accelerate our…
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