AI with Papers - Artificial Intelligence & Deep Learning

🦖MoCap Anything V2 is out🦖 👉End-to-end motion capture for arbitrary skeletons: from a monocular video plus a reference asset straight to BVH-ready joint rotations, with no analytical IK. Works on humans, animals and custom rigs. Repo & weights under MIT, but R…

🍏 70+ FPS 1080p Matting 🍏 👉MatAnyone-E: on a single H200: 73.07 FPS at 1080p and 28.62 FPS at 4K. Code TBA, S-LAB license💙 👉Review https://lnkd.in/p/deB-YcP9 👉Paper https://arxiv.org/pdf/2610.35724 👉Project https://shuyun-wang.github.io/projects/MatAnyone-E/ 👉…

🫀 SKIM V2 is out🫀 👉SOMA recovers muscle deformation over time from surface observations captured by multi-view RGB cameras, the first approach of this kind. SKIM v2: a new soft-tissue deformation dataset. Code under MIT, data & weights NC💙 👉Review https://lnkd…

🧊 SOTA Foundation Pose 🧊 👉From one segmented RGB-D observation, directly predict 6D pose, metric size, and camera-frame completed shape. Repo under Apace 2.0💙 👉Review https://lnkd.in/p/dXpXt7Pz 👉Paper https://arxiv.org/pdf/2610.31623 👉Project https://jrryzh.gi…

🍵3D from Single Human RGB🍵 👉Real-to-semantic-to-real pipeline that turns one monocular RGB video of a human demonstration into thousands of robot demonstrations. Code TBA💙 👉Review https://lnkd.in/p/dt-B2QMt 👉Paper https://arxiv.org/pdf/2610.28880 👉Project http…

🥭Agentic Manga->Animation🥭 👉Manga2Animate: turning existing manga pages into coherent animation that stays faithful to the original manga. Impressive results, best with sound. Code released.💙 👉Review https://lnkd.in/p/dHpdPAj3 👉Paper https://arxiv.org/pdf/2610…

🔥SOTA Video Matting🔥 👉VideoMaMa++ (#NeurIPS 2026): mask-guided video matting framework that recovers fine-grained details (e.g., hair strands) and scales reliably to long clips. Impressive, code announced💙 👉Review https://lnkd.in/p/dj3_zE3P 👉Paper https://arxi…

🏵️Lang-Informed Lossless Encoder🏵️ 👉Stanford's LILIE: an invertible image transform trained such that a vision-language model can recover captions from noised features. Code, encoders, and generative models💙 👉Review https://lnkd.in/p/dq3SK_nc 👉Paper https://ar…