![]() ![]() We highlight the importance of modeling transparency for each primitive, which is critical for optimization and also enables handling varying numbers of primitives. Specifically, we model primitives as textured superquadric meshes and optimize their parameters from scratch with an image rendering loss. ![]() Moreover, unlike existing primitive decomposition methods that rely on 3D input data, our approach operates directly on images through differentiable rendering. Such representations are interpretable, easy to manipulate and suited for physics-based simulations. While many approaches focus on recovering high-fidelity 3D scenes, we focus on parsing a scene into mid-level 3D representations made of a small set of textured primitives. Download a PDF of the paper titled Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives, by Tom Monnier and 4 other authors Download PDF HTML (experimental) Abstract:Given a set of calibrated images of a scene, we present an approach that produces a simple, compact, and actionable 3D world representation by means of 3D primitives. ![]()
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