S23DR 2026 Winning Solution
Jan Skvrna, Miroslav Purkrabek, Lukas Neumann
cs.CV
Abstract
This text presents the winning solution to the S23DR 2026 challenge for structured 3D wireframe reconstruction from sparse SfM, fitted depth, and semantic segmentations. The method treats vertices as a conditional set and denoises 64 vertex tokens with a flow-matching DiT conditioned on Perceiver-style scene tokens. A global pass predicts the coarse structure, a hull-cropped second pass refines it, and a small multi-sample consensus step keeps the stochastic sampler well behaved. The final system ranked first on the private leaderboard, achievingHSS = 0.654.
Topics
Classified with taxonomy v2 on Sat, 5 Sept 2026.