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Shi-Min Hu
Researcher at Tsinghua University
Publications - 330
Citations - 16809
Shi-Min Hu is an academic researcher from Tsinghua University. The author has contributed to research in topics: Computer science & Image segmentation. The author has an hindex of 54, co-authored 321 publications receiving 13301 citations. Previous affiliations of Shi-Min Hu include Microsoft & Beihang University.
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3-Sweep: extracting editable objects from a single photo
TL;DR: An interactive technique for manipulating simple 3D shapes based on extracting them from a single photograph, which combines the cognitive abilities of humans with the computational accuracy of the machine to solve the daunting task of object extraction.
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Sketch2Scene: sketch-based co-retrieval and co-placement of 3D models
TL;DR: Sketch2Scene, a framework that automatically turns a freehand sketch drawing inferring multiple scene objects to semantically valid, well arranged scenes of 3D models, is presented, promising to use as an alternative but more efficient tool of standard 3D modeling for 3D scene construction.
Proceedings ArticleDOI
View-dependent displacement mapping
TL;DR: This work introduces a technique called view-dependent displacement mapping (VDM) that models surface displacements along the viewing direction that allows for efficient rendering of self-shadows, occlusions and silhouettes without increasing the complexity of the underlying surface mesh.
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RepFinder: finding approximately repeated scene elements for image editing
TL;DR: A novel framework where user scribbles are used to guide detection and extraction of repeated elements, which robustly extracts the repetitions along with their deformations and demonstrates the versatility of the framework on a large set of inputs of varying complexity.
Journal ArticleDOI
Structure recovery by part assembly
TL;DR: This paper presents a technique that allows quick conversion of acquired low-quality data from consumer-level scanning devices to high-quality 3D models with labeled semantic parts and meanwhile their assembly reasonably close to the underlying geometry by a novel structure recovery approach.