Mark Boss
Mark Boss
@markboss.bsky.social
I’m the Co-Head of Visual Research at Stability AI with research interests in the intersection of machine learning and computer graphics 📍Germany 🔗 https://markboss.me
1.3K followers101 following25 posts
Mark Boss reposted
🌺 Just 4 days to go! Join us in Honolulu for the Instance-Level Recognition and Generation Workshop at #ICCV2025 🏝 🗓️ Oct 19, 8:30am–12:30pm 📍 Room 306 A We’ll have amazing keynotes, plus oral and poster sessions featuring accepted and invited papers. Don’t miss it! ilr-workshop.github.io/ICCVW2025/
Happy to announce: ReSWD. Sliced Wasserstein Distances are quite powerful, but they perform a Monte Carlo (MC) integration (over random directions). During an optimization this can lead to noisy gradients due to variance. Project page: reservoirswd.github.io
Thanks to my co-authors Andreas Engelhardt, Simon Donné, Varun Jampani Also check out the HF demo huggingface.co/spaces/stabi..., the code github.com/Stability-AI..., and the explainer youtu.be/ckcSgf0s-jI
Few examples from the demo. You can generate various styles from a single prompt. You can either pick semantic matching images, or not and get unexpected results. [1] unsplash.com/photos/a-boa... [2] unsplash.com/photos/mount... [3] unsplash.com/photos/man-i... [4] unsplash.com/photos/macro...
Happy to announce: ReSWD. Sliced Wasserstein Distances are quite powerful, but they perform a Monte Carlo (MC) integration (over random directions). During an optimization this can lead to noisy gradients due to variance. Project page: reservoirswd.github.io
3️⃣ MARBLE: Edit materials effortlessly using simple CLIP feature manipulation, supporting exemplar-based interpolation or parametric edits across various styles. Check it out: marblecontrol.github.io
I’ll also be sharing these and other works at the AI4CC workshop on the 12th at 11:00. ai4cc.net
1️⃣ SF3D: Generate textured, UV-unwrapped 3D assets with additional materials incredibly fast (<0.3s)! More details here: stable-fast-3d.github.io
2️⃣ SPAR3D (follow-up to SF3D): Integrates a fast point diffusion module, enhancing depth, backside modeling, and enabling easier editing. Project page: spar3d.github.io
Mark Boss reposted
Stable Virtual Camera: Generative View Synthesis with Diffusion Models Jensen (Jinghao)Zhou, Hang Gao, Vikram Voleti, @adyaman.bsky.social, Chun-Han Yao, @markboss.bsky.social, @philiptorr.bsky.social, Christian Rupprecht, Varun Jampani arxiv.org/abs/2503.14489
Happy to announce SPAR3D! A fast <1s single image to 3D reconstruction model that combines the best from diffusion and regression models by leveraging a point diffusion module to perform a fast initial point cloud. This aids 3D understanding for the mesh estimation stability.ai/news/stable-...
One neat implication is that we can edit the point cloud to fix missing features or wrong scaling. We even created a small gradio component for simple edits in the demo (pypi.org/project/grad...)
Check out the HF demo to test the model: huggingface.co/spaces/stabi.... The model (huggingface.co/stabilityai/...) is also available with code and Comfy Nodes github.com/Stability-AI.... We also have a project page available at spar3d.github.io
Mark Boss reposted
Mark Boss reposted
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