Presentation

<
Distance Field Rasterization for End-to-End Mesh Reconstruction
SessionReconstruction & Sampling
DescriptionSDFRaster combines the efficiency of rasterization with signed distance fields for end-to-end mesh reconstruction from multi-view images. By optimizing a tetrahedral SDF and extracting meshes during optimization, it produces accurate, complete, and compact surfaces without heuristic post-processing.
Authors
Jinkai Cui
University of Science and Technology of China
Kaiwen Song
University of Science and Technology of China
Chumeng Niu
University of Science and Technology of China
Juyong Zhang
University of Science and Technology of China
Event Type
Technical Paper
TimeWednesday, 22 July 202610:55am - 11:05am PDT
LocationRoom 403 B
Digital Library PDF
Session Time & Location
Sunday, 19 July 20266:00pm - 8:45pm PDTHall K
Wednesday, 22 July 202610:45am - 12:35pm PDTRoom 403 B
Keywords
Geometry
Modeling
Rendering
Registration Categories
Full Conference Supporter
Full Conference
Next PresentationNext PresentationTopology Type Estimation of Simulated 4D Image Data by Combining Downscaling and Convolutional Neural Networks
Similar Presentations
Points as Tori: Fast Pointwise Signed Distance for Point Clouds
SuperSDF:Sparse SDF Super-Resolution for Surface Extraction
Dual Contouring of Signed Distance Data