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SIGGRAPH Paper Reading 2011. Huang Haibin 2011.7.4. Paper list. Procedural & Interactive Modeling Interactive Furniture Layout Using Interior Design Guidelines Converting 3D Furniture Models to Fabricatable Parts and Connectors - PowerPoint PPT Presentation
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SIGGRAPH Paper Reading 2011
Huang Haibin2011.7.4
Paper list
• Procedural & Interactive Modeling Interactive Furniture Layout Using Interior Design Guidelines Converting 3D Furniture Models to Fabricatable Parts and Connectors Make it Home: Automatic Optimization of Furniture Arrangement Computer-Generated Residential Building Layouts Interactive Architectural Modeling with Procedural Extrusions Metropolis Procedural Modeling
• Image Processing Domain Transform for Edge-Aware Image and Video Processing Non-Rigid Dense Correspondence with Applications for Image
Enhancement
Layout Generation
• Interactive Furniture Layout Using Interior Design Guidelines
• Computer-Generated Residential Building Layouts
Interactive Furniture Layout Using Interior Design Guidelines (SIGGRAPH 2011)
Paul Merrell
Maneesh Agrawala
Eric Schkufza Zeyang Li
Stanford University
Vladlen Koltun
University of California, Berkeley
Main idea
Contributions
• 1. Identify and operationalize a set of design guidelines for furniture layout
• 2. Develop an interactive system for creating furniture arrangements based on these guidelines
Furniture Layout Guidelines
• 1. Functional Criteria
• 2.Visual Criteria
• 3. Authoring
Functional Criteria
• 1. Clearance
• 2. Circulation
• 3. Pairwise relationships
• 4.Conversation
Functional Criteria
• 1. Balance
• 2. Alignment
• 3. Emphasis
Generation Suggestions
Monte Carlo Sampler
• Density Function and Sampling
Results
Computer-Generated Residential Building Layouts(SIGRAPH Asia 2010)
Paul Merrell Eric Schkufza Zeyang Li
Stanford University
Main idea
A list of high-level requirements
Computer-Generated Residential Building Layouts
Contributions
• Data-driven generation of architectural programs from high-level requirements.
• Fully automated generation of detailed multi-story floor plans from architectural programs.
• An end-to-end approach to automated generation of building layouts from high-level requirements.
Building Layout Design
• 1. Architectural Programming
• 2.Floor Plan Optimization
• 3. Generating 3D models
Data- driven Architectural Programming
• 1. Bayesian Networks
• Structure Learning
Floor Plan Optimization
• Proposal Moves 1.Notation 2.Sliding a wall 3.Swapping rooms
Cost Function
• Accessibility
• Dimensions
• Floors
• Shapes
Generating 3D models
• Passageways
• Windows
• Staircases
• Roofs
Results
Procedural & Interactive Modeling
• Interactive Architectural Modeling with Procedural Extrusions
• Metropolis Procedural Modeling
• 1. Grammar-based: L-system…
• 2. Other: 3DMax…
Metropolis Procedural Modeling
Main Idea
Contribution
• An algorithm for controlling grammar-based procedural models
Solutions
Problems
• 1. Generate the space of productions from the grammar
• 2.Define an objective function that quantifies the similarity between a given production and the specification
• 3. Optimization
PROBABILISTIC INFERENCE FOR GRAMMARS
LIKELIHOOD FORMULATIONS
• Image- and volume-based modeling
• Mondrian modeling
Optimization
• MCMC jump MCMC
1.Reversibility
2.Dimension matching
3Acceptance probability
MCMC FOR GRAMMARS
• Diffusion moves
• Jump moves
Results
Interactive Architectural Modeling with Procedural Extrusions
Main idea
• Model complex architectural features, including overhanging roofs, dormer windows, interior dormer windows, roof constructions with vertical walls, buttresses, chimneys, bay windows, columns, pilasters, and alcoves.
USER INTERFACE DESCRIPTION
• Modeling With Profiles• Plans and Profiles• Overhangs• Anchors• Plan Edits• Positioning Procedural Details
COMPUTING PROCEDURAL EXTRUSIONS
• Generalized Intersection Event• Edge Direction Events• Profile Offset Events• Insertions into the Polygon• Ambiguities in Procedural Extrusions
Image Processing
• Domain Transform for Edge-Aware Image and Video Processing
• Non-Rigid Dense Correspondence with Applications for Image Enhancement
Domain Transform for Edge-Aware Image and Video Processing
Authors
Main idea
Contributions
Transform for Edge-Preserving Filtering
5D 2D
1D
Domain Transform
Application to Edge-Preserving Filtering
Filtering 2D Signals
Results
• Detail Manipulation• Tone Mapping• Stylization• Joint Filtering• Colorization
Non-Rigid Dense Correspondence with Applications for Image Enhancement
Authors
Yoav HaCohen Eli Shechtman
Dan GoldmanDani Lischinski
The Hebrew University of Jerusalem
The Hebrew University of JerusalemAdobe Systems
Adobe Systems
Main idea
• The images are close to each other in time and in viewpoint, and a dense correspondence field may be established using optical flow or stereo reconstruction techniques.
• The difference in viewpoint may be large, but the scene consists of mostly rigid objects
• The input images share some common content, but may differ significantly due to a variety of factors, such as non-rigid changes in the scene, changes in lighting and tone mapping, and different cameras and lenses.
Overview
Nearest-neighbor search
• Based on Generalized PatchMatch algorithm(SIGGRAPH 2010)
Aggregating consistent regions
• Global color mapping
• Search constraints
Evaluation
Applications
• Local color transfer
• Deblurring
• Mask transfer