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  • All News
    • ReLi3D Accepted at ICLR 2026
    • Two Papers Accepted at ICCV 2025
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    • Stable Virtual Camera: Generative View Synthesis with Diffusion Models
    • SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images
    • SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement
    • Two Papers Accepted at ECCV 2024
    • SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion
    • Collaborative Control for Geometry-Conditioned PBR Image Generation
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    • SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections
    • An open-source smartphone app for the quantitative evaluation of thin-layer chromatographic analyses in medicine quality screening
    • SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections
    • Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition
    • NeRD: Neural Reflectance Decomposition from Image Collections
    • NeRD: Neural Reflectance Decomposition from Image Collections
    • Two-shot Spatially-varying BRDF and Shape Estimation
    • Two-shot Spatially-varying BRDF and Shape Estimation
  • Publications
    • ReLi3D: Relightable Multi-view 3D Reconstruction with Disentangled Illumination
    • ReSWD: ReSTIR‘d, not shaken. Combining Reservoir Sampling and Sliced Wasserstein Distance for Variance Reduction.
    • SViM3D: Stable Video Material Diffusion for Single Image 3D Generation
    • MARBLE: Material Recomposition and Blending in CLIP-Space
    • Stable Virtual Camera: Generative View Synthesis with Diffusion Models
    • SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images
    • SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement
    • SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion
    • Collaborative Control for Geometry-Conditioned PBR Image Generation
    • SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild
    • Neural Reflectance Decomposition
    • SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections
    • An open-source smartphone app for the quantitative evaluation of thin-layer chromatographic analyses in medicine quality screening
    • Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition
    • NeRD: Neural Reflectance Decomposition from Image Collections
    • Two-shot Spatially-varying BRDF and Shape Estimation
    • Single Image BRDF Parameter Estimation with a Conditional Adversarial Network
    • Deep Dual Loss BRDF Parameter Estimation
  • Recent & Upcoming Talks
    • No Two Alike: Generation and editing, Instance by Instance
    • Generative AI for VFX & Games
    • Inverse Rendering for Games
    • Neural Reflectance Decomposition
  • Posts
    • NeRF at CVPR 2023
    • NeRF at ECCV 2022
    • NeRF at NeurIPS 2022
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Citegeist

Feb 20, 2026 · 0 min read
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Last updated on Feb 20, 2026
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Mark Boss
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Mark Boss
Co-Head of 3D & Image
I’m a research lead in 3D at Stability AI with research interests in the intersection of machine learning and computer graphics.
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