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/
🚀 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 👇
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/ @MattNiessnerkaldir.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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