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Collection of recent advanced computer graphics research that involved potential architectural application
https://github.com/jockyuiz/awesome-architectural-graphics
List: awesome-architectural-graphics
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Collection of recent advanced computer graphics research that involved potential architectural application
Host: GitHub
URL: https://github.com/jockyuiz/awesome-architectural-graphics
Owner: jockyuiz
Created: 2022-08-21T05:18:39.000Z (about 2 years ago)
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- Readme: README.md
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README

        # Awesome-Architectural-Graphics

[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)

A collection of papers about computer graphics research projects in the last few years that involved potential architectural applications. Mainly focus on architectural geometry, vector fields, shape analysis, inverse CAD design, etc.

> Feel free to create a PR or an issue.

![examples](http://www-labs.iro.umontreal.ca/~bmpix/curve_networks/images/teaser_web.png)

**Outlines**

- [1. Design Synthesis](#0-Creative-ideas-&-design)

  - [1) 2D Floorplan synthesis](#1-semantic-concept-to-sketch)

  - [2) 3D Shape generation](#2-photo-to-sketch)

- [2. (Inverse) CAD Modeling](#1-datasets)

  - [1) Sketch-to-CAD](#1-semantic-concept-to-sketch)

  - [2) Photo-to-CAD](#2-photo-to-sketch)

  - [3) Text/Attribute-to-CAD](#3-textattribute-to-sketch)

  - [4) Procedural Modeling](#4-3d-shape-to-sketch)

- [3. Geometry Optimization](#2-sketch-synthesis-approaches)(Topology Optimization Excluded)

  - [1) Fabrication-oriented Geometry](#1-semantic-concept-to-sketch)

  - [2) Structure-oriented Geometry](#2-photo-to-sketch)

  - [3) Deployment-oriented Geometry](#3-textattribute-to-sketch)

  - [4) Curve/Ribbon/Crease](#4-3d-shape-to-sketch)

- [4. Directional Field](#3-vector-graphics-generation)  

- [5. Design Space](#3-vector-graphics-generation)

---

## 1. Creative ideas & design

Here `Vector strokes` means having *svg* data. `With photos` means having the photo-sketch paired data.

  

    Level

    Dataset

    Source

    Vector strokes

    With photos

    Notes

  

  

    Characters

     Omniglot  

      

     :heavy_check_mark:  

     :x:  

     Alphabets characters 

  

  

     KanjiVG  

      

     :heavy_check_mark:  

     :x:  

     Chinese characters 

  

  

     Kuzushiji  

      

     :x:  

     :x:  

     Japanese characters 

  

  

    Instance-level

     TU-Berlin  

     SIGGRAPH 2012  

     :heavy_check_mark:  

     :x:  

     Multi-category hand sketches 

  

  

     Sketchy  

     SIGGRAPH 2016  

     :heavy_check_mark:  

     :heavy_check_mark:  

     Multi-category photo-sketch paired 

  

  

     QuickDraw  

     ICLR 2018  

     :heavy_check_mark:  

     :x:  

     Multi-category hand sketches 

  

  

     QMUL-Shoe-Chair-V2  

     CVPR 2016  

     :heavy_check_mark:  

     :heavy_check_mark:  

     Only two categories 

  

  

     Sketch Perceptual Grouping (SPG)  

     ECCV 2018  

     :heavy_check_mark:  

     :x:  

     With part-level semantic segmentation information 

  

  

     FaceX  

     AAAI 2019  

     :heavy_check_mark:  

     :x:  

     Labeled facial sketches   

  

  

     Creative Sketch  

     ICLR 2021  

     :heavy_check_mark:  

     :x:  

     With annotated part segmentation   

  

  

     ImageNet-Sketch  

     NeurIPS 2019  

     :x:  

     :x:  

     50 images for each of the 1000 ImageNet classes   

  

  

    Scene-level

     SketchyScene  

     ECCV 2018  

     :x:  

     :heavy_check_mark:  

     With semantic/instance segmentation information   

  

  

     CMPlaces  

     TPAMI 2018  

     :x:  

     :heavy_check_mark:  

     Cross-modal scene dataset   

  

  

     Context-Skecth  

     Expressive 2018  

     :x:  

     :heavy_check_mark:  

     Context-based scene sketches for co-classification   

  

  

     SketchyCOCO  

     CVPR 2020  

     :x:  

     :heavy_check_mark:  

     Scene sketch, segmentation and normal images   

  

  

     FS-COCO  

     ECCV 2022  

     :heavy_check_mark:  

     :heavy_check_mark:  

     Scene sketches with text description   

  

  

    Drawing from photos

     Photo-Sketching  

     WACV 2019  

     :heavy_check_mark:  

     :heavy_check_mark:  

     ScenePhoto-sketch paired 

  

  

     Tracing-vs-Freehand  

     SIGGRAPH 2021  

     :heavy_check_mark:  

     :heavy_check_mark:  

     Tracings and freehand drawings of images   

  

  

    Portrait

     APDrawing  

     CVPR 2019  

     :x:  

     :heavy_check_mark:  

     Portrait-sketch paired 

  

  

    Rough sketch

     Da Vinci  

     CGI 2018  

     :x:  

     :heavy_check_mark:  

     Line drawing restoration dataset 

  

  

     Rough Sketch Benchmark  

     SIGGRAPH Asia 2020  

     :heavy_check_mark:  

     :heavy_check_mark:  

     Rough and clean sketch pairs (only for evaluation)   

  

  

    CAD

     ld3d  

     SIGGRAPH 2008  

     :x:  

     :x:  

     Line Drawings of 3D Shapes 

  

  

     OpenSketch  

     SIGGRAPH Asia 2019  

     :heavy_check_mark:  

     :x:  

     Product Design Sketches 

  

  

     SketchGraphs  

     ICML 2020 Workshop  

     :heavy_check_mark:  

     :x:  

     Sketches extracted from real-world CAD models   

  

  

     Fusion 360 Gallery  

     SIGGRAPH 2021  

     :heavy_check_mark:  

     :x:  

     For 'sketch and extrude' designs   

  

  

     FloorPlanCAD  

     ICCV 2021  

     :heavy_check_mark:  

     :x:  

     With instance and semantic annotations   

  

  

## 2. Architectural Geometry 

### 1) Curve network

  

    Level

    Paper

    Source

    Code/Project Link

  

  

    Curve-study

     Stability-Aware Simplification of Curve Networks  

     SIGGRAPH 2022  

     

      [Code] 

      [Project] 

      [Presentation] 

    

  

  

     3D Weaving with Curved Ribbons  

     SIGGRAPH 2021  

     

      [Project] 

      [Web Demo]

    

  

  

     THE DESIGN SPACE OF PLANE ELASTIC CURVES  

     SIGGRAPH 2021  

     

      [Project] 

      [Code]

    

  

  

     Stroke-based sketched symbol reconstruction and segmentation (stroke-rnn)  

      

     

  

  

     BézierSketch: A generative model for scalable vector sketches  

     ECCV 2020  

      

  

  

     Pixelor: A Competitive Sketching AI Agent. So you think you can beat me?  

     SIGGRAPH Asia 2020  

     

      [Project] 

      [Code] 

    

  

  

     Creative Sketch Generation  

     ICLR 2021  

     

      [Project] 

      [Code] 

    

  

  

     Computer-Aided Design as Language  

     arxiv 2105  

     

    

  

  

---

### 2) Discrete nets/meshes

- vector image generation

  

    Data type

    Paper

    Source

    Code/Project Link

  

  

    Facial

     Style and abstraction in portrait sketching  

     TOG 2013  

    

    

  

  

     Making Robots Draw A Vivid Portrait In Two Minutes  

     IROS 2020  

     

      [Code] 

      [Project] 

    

  

  

     RoboCoDraw: Robotic Avatar Drawing with GAN-based Style Transfer and Time-efficient Path Optimization  

     AAAI 2020  

     

      [Code] 

    

  

  

    Instance-level

     Free-Hand Sketch Synthesis with Deformable Stroke Models  

     IJCV 2017  

    

      [Project] 

      [code] 

    

  

  

     Learning to Sketch with Shortcut Cycle Consistency  

     CVPR 2018  

     [Code1] [Code2] 

  

  

     Learning Deep Sketch Abstraction  

     CVPR 2018  

      

  

  

     CLIPasso: Semantically-Aware Object Sketching  

     SIGGRAPH 2022  

     

      [Project] 

      [Code]

    

  

  

    Technical Drawings

     Deep Vectorization of Technical Drawings  

     ECCV 2020  

    

      [Project] 

      [code] 

    

  

  

    Scene-level

     Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale  

     AAAI 2021  

    

      [Code] 

    

  

- pixelwise image generation

  

    Level

    Paper

    Source

    Code/Project Link

  

  

    Facial

     ArtLine  

     Online demo  

     

      [Code] 

    

  

  

     APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs  

     CVPR 2019  

     

      [Code] 

      [Demo] 

    

  

  

     Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping  

     CVPR 2020  

     

      [Code] 

    

  

  

     Line Drawings for Face Portraits From Photos Using Global and Local Structure Based GANs  

     TPAMI 2020  

     

      [Code] 

    

  

  

     Quality Metric Guided Portrait Line Drawing Generation from Unpaired Training Data  

     TPAMI 2022  

     

      [Code] 

    

  

  

    Instance-level

     Deep Factorised Inverse-Sketching  

     ECCV 2018  

     

  

  

     Making better use of edges for sketch generation  

     JEI 2018  

     

  

  

     Synthesizing human-like sketches from natural images using a conditional convolutional decoder  

     WACV 2020  

     

      [Code] 

    

  

  

    Scene-level

     Photo-Sketching: Inferring Contour Drawings from Images  

     WACV 2019  

    

      [Code] 

      [Project] 

    

  

  

     Learning to generate line drawings that convey geometry and semantics  

     CVPR 2022  

     

      [Code] 

      [Project] 

    

  

---

### 3) Deployable system

| Level | Paper | Source | Code/Project Link |

| --- | --- | --- | --- |

| **Facial** | [Text2Sketch: Learning Face Sketch from Facial Attribute Text](https://ieeexplore.ieee.org/abstract/document/8451236) | ICIP 2018 |  |

| **Scene-level** | [Sketchforme: Composing Sketched Scenes from Text Descriptions for Interactive Applications](https://arxiv.org/pdf/1904.04399.pdf) | UIST 2019 |  |

| **Scene-level** | [Scones: Towards Conversational Authoring of Sketches](http://people.eecs.berkeley.edu/~eschoop/docs/scones.pdf) | IUI 2020 |  |

| **Arbitrary** | [CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders](https://arxiv.org/abs/2106.14843) | arxiv 2106 | [[code]](https://colab.research.google.com/github/kvfrans/clipdraw/blob/main/clipdraw.ipynb) |

| **Arbitrary** | [Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts](https://arxiv.org/abs/2109.08857) | arxiv 2109 | [[code]](https://github.com/google/brain-tokyo-workshop) [[project]](https://es-clip.github.io/) |

---

### 4) 3D shape-to-sketch

| Paper | Source | Code/Project Link |

| --- | --- | --- |

| [DeepShapeSketch : Generating hand drawing sketches from 3D objects](https://shizhezhou.github.io/projects/DeepFreeHandSke2019/deepFreehandSke2019.pdf) | IJCNN 2019 |  |

| [Neural Contours: Learning to Draw Lines from 3D Shapes](https://people.cs.umass.edu/~dliu/papers/NeuralContours.pdf) | CVPR 2020 | [[project]](https://people.cs.umass.edu/~dliu/projects/NeuralContours/) [[code]](https://github.com/DifanLiu/NeuralContours) |

| [Cloud2Curve: Generation and Vectorization of Parametric Sketches](https://arxiv.org/abs/2103.15536) | CVPR 2021 | [[project]](https://ayandas.me/pubs/2021/03/01/pub-9.html) |

| [Neural Strokes: Stylized Line Drawing of 3D Shapes](https://openaccess.thecvf.com/content/ICCV2021/papers/Liu_Neural_Strokes_Stylized_Line_Drawing_of_3D_Shapes_ICCV_2021_paper.pdf) | ICCV 2021 | [[code]](https://github.com/DifanLiu/NeuralStrokes) |

---

### 5) Sketch(vector)-to-sketch(vector)

This means translating a disordered vector sketch into an ordered sequential sketch imitating human's drawing order. The appearance of the sequential sketch is exactly the **same** as the pixelwise one.

| Paper | Source | Code/Project Link |

| --- | --- | --- |

| [Animated Construction of Line Drawings](http://sweb.cityu.edu.hk/hongbofu/projects/animatedConstructionOfLineDrawings_SiggA11/animatedConstructionOfLineDrawings_SiggA11.pdf) | SIGGRAPH ASIA 2011 | [[Project]](http://sweb.cityu.edu.hk/hongbofu/projects/animatedConstructionOfLineDrawings_SiggA11/) [[code]](http://sweb.cityu.edu.hk/hongbofu/projects/animatedConstructionOfLineDrawings_SiggA11/Viewer_src.zip) [[Demo]](http://sweb.cityu.edu.hk/hongbofu/projects/animatedConstructionOfLineDrawings_SiggA11/Viewer.zip) |

---

### 6) Art-to-sketch

Here we list sketch synthesis based on other image types, like Manga, line art, rough sketch, etc.

- Line art

a) Datasets and benchmark

| Paper | Source | Code/Project Link |

| --- | --- | --- |

| [A Benchmark for Rough Sketch Cleanup](https://hal.archives-ouvertes.fr/hal-02939477/document) | SIGGRAPH Asia 2020 | [[Project]](https://cragl.cs.gmu.edu/sketchbench/)  [[Code]](https://github.com/Nauhcnay/A-Benchmark-for-Rough-Sketch-Cleanup) |

b) Vector-to-Vector

| Paper | Source | Code/Project Link | \*-based |

| --- | --- | --- | --- |

| [Closure-aware Sketch Simplification](http://www.cse.cuhk.edu.hk/~ttwong/papers/sketch/sketch.pdf) | SIGGRAPH Asia 2015 | [[Project]](https://www.cse.cuhk.edu.hk/~ttwong/papers/sketch/sketch.html) | Optimization |

| [StrokeAggregator: Consolidating Raw Sketches into Artist-Intended Curve Drawings](https://www.cs.ubc.ca/labs/imager/tr/2018/StrokeAggregator/StrokeAggregator_authorversion.pdf) | SIGGRAPH 2018 | [[Project]](https://www.cs.ubc.ca/labs/imager/tr/2018/StrokeAggregator/) | Optimization |

| [StrokeStrip: Joint Parameterization and Fitting of Stroke Clusters](https://www.davepagurek.com/programming/strokestrip/) | SIGGRAPH 2021 | [[Project]](https://www.davepagurek.com/programming/strokestrip/) [[code]](https://github.com/davepagurek/StrokeStrip) | Optimization |

c) Raster-to-Vector (a.k.a. Vectorization)

| Paper | Source | Code/Project Link | \*-based |

| --- | --- | --- | --- |

| [Topology-Driven Vectorization of Clean Line Drawings](https://cgl.ethz.ch/Downloads/Publications/Papers/2013/Nor13/Nor13.pdf) | TOG 2013 | | Optimization |

| [Fidelity vs. Simplicity: a Global Approach to Line Drawing Vectorization](https://www-sop.inria.fr/reves/Basilic/2016/FLB16/fidelity_simplicity.pdf) | SIGGRAPH 2016 | [[Project]](https://www-sop.inria.fr/reves/Basilic/2016/FLB16/) | Optimization |

| [A Delaunay triangulation based approach for cleaning rough sketches](https://ed.iitm.ac.in/~raman/agcl/sketchSMI.pdf) | C&G 2018 | [[Code]](https://github.com/amaldevp/RoughSketchSimplification) | Optimization |

| [Semantic Segmentation for Line Drawing Vectorization Using Neural Networks](http://www.byungsoo.me/project/vectornet/paper.pdf) | EG 2018 | [[project]](http://www.byungsoo.me/project/vectornet) [[code]](https://github.com/byungsook/vectornet) | Learning |

| [Deep Line Drawing Vectorization via Line Subdivision and Topology Reconstruction](https://www.researchgate.net/profile/Chu_Han8/publication/337249870_Deep_Line_Drawing_Vectorization_via_Line_Subdivision_and_Topology_Reconstruction/links/5f0fec43299bf1e548ba370f/Deep-Line-Drawing-Vectorization-via-Line-Subdivision-and-Topology-Reconstruction.pdf) | PG 2019 | | Learning |

| [Inertia-based Fast Vectorization of Line Drawings](https://www.researchgate.net/profile/Rafal_Scherer/publication/336936860_Inertia-based_Fast_Vectorization_of_Line_Drawings/links/5dbbc8ad299bf1a47b0721d1/Inertia-based-Fast-Vectorization-of-Line-Drawings.pdf) | PG 2019 | | Optimization |

| [Vectorization of Line Drawings via Polyvector Fields](https://dl.acm.org/doi/10.1145/3202661) | TOG 2019 | [[Code]](https://github.com/bmpix/PolyVectorization) | Optimization |

| [Integer-Grid Sketch Simplification and Vectorization](http://www-sop.inria.fr/reves/Basilic/2020/SBBB20/paper.pdf) | SGP 2020 | [[Project]](https://repo-sam.inria.fr/d3/grid-vectorization/) [[Code]](https://gitlab.inria.fr/D3/grid-vectorization/) | Optimization |

| [Deep Vectorization of Technical Drawings](https://arxiv.org/abs/2003.05471) | ECCV 2020 | [[project]](http://adase.group/3ddl/projects/vectorization/) [[code]](https://github.com/Vahe1994/Deep-Vectorization-of-Technical-Drawings) | Learning |

| [General Virtual Sketching Framework for Vector Line Art](https://esslab.jp/publications/HaoranSIGGRAPH2021.pdf) | SIGGRAPH 2021 | [[project]](https://markmohr.github.io/virtual_sketching/) [[code]](https://github.com/MarkMoHR/virtual_sketching) | Learning |

| [Keypoint-Driven Line Drawing Vectorization via PolyVector Flow](http://www-labs.iro.umontreal.ca/~bmpix/pdf/polyvector_flow.pdf) | SIGGRAPH Asia 2021 | [[project]](https://puhachov.xyz/publications/keypoint-driven-polyvector-flow/) | Learning + Optimization |

| [End-to-end Line Drawing Vectorization](https://www.aaai.org/AAAI22Papers/AAAI-52.LiuH.pdf) | AAAI 2022 |  | Learning |

| [Vectorizing Line Drawings of Arbitrary Thickness via Boundary-based Topology Reconstruction](https://onlinelibrary.wiley.com/doi/full/10.1111/cgf.14485) | CGF 2022 |  | Heuristic |

- Rough sketch simplification

| Paper | Source | Code/Project Link |

| --- | --- | --- | 

| [Learning to Simplify: Fully Convolutional Networks for Rough Sketch Cleanup](https://esslab.jp/publications/SimoSerraSIGGRAPH2016.pdf) | SIGGRAPH 2016 | [[Code]](https://github.com/bobbens/sketch_simplification) [[Project]](https://esslab.jp/~ess/en/research/sketch/) |

| [Mastering Sketching: Adversarial Augmentation for Structured Prediction](https://esslab.jp/~ess/publications/SimoSerraTOG2018.pdf) | SIGGRAPH 2018 | [[Code]](https://github.com/bobbens/sketch_simplification)  [[Project]](https://esslab.jp/~ess/en/research/sketch_master/) |

| [Real-Time Data-Driven Interactive Rough Sketch Inking](https://esslab.jp/~ess/publications/SimoSerraSIGGRAPH2018.pdf) | SIGGRAPH 2018 | [[Code]](https://github.com/bobbens/line_thinning) [[Project]](https://esslab.jp/~ess/en/research/inking/) |

| [Perceptual-aware Sketch Simplification Based on Integrated VGG Layers](https://ieeexplore.ieee.org/abstract/document/8771128/) | TVCG 2019 |  |

- Manga (Comics)

| Paper | Source | Code/Project Link |

| --- | --- | --- | 

| [Deep extraction of manga structural lines](https://dl.acm.org/citation.cfm?id=3073675) | SIGGRAPH 2017 | [[Code]](https://github.com/ljsabc/MangaLineExtraction) |

| [Manga Filling Style Conversion with Screentone Variational Autoencoder](https://www.cse.cuhk.edu.hk/~ttwong/papers/screenstyle/screenstyle.html) | SIGGRAPH Asia 2020 | [[Project]](https://www.cse.cuhk.edu.hk/~ttwong/papers/screenstyle/screenstyle.html) [[Code]](https://github.com/msxie92/ScreenStyle) |

| [Generating Manga from Illustrations via Mimicking Manga Workflow](https://openaccess.thecvf.com/content/CVPR2021/papers/Zhang_Generating_Manga_From_Illustrations_via_Mimicking_Manga_Creation_Workflow_CVPR_2021_paper.pdf) | CVPR 2021 | [[Project]](https://lllyasviel.github.io/MangaFilter/) [[Code]](https://github.com/lllyasviel/MangaFilter) |

| [MangaGAN: Unpaired Photo-to-Manga Translation Based on The Methodology of Manga Drawing](https://arxiv.org/abs/2004.10634) | AAAI 2021 | |

| [Vectorization of Raster Manga by Deep Reinforcement Learning](https://arxiv.org/abs/2110.04830) | arxiv 2110 | |

## 3. Inverse CAD Modeling

Here we focus on learning-based vector graphics generation **without** depending on vector training data, and traditional vectorization algorithms.

- Learning with external black-box (non-differentiable) rendering simulator

| Paper | Source | Code/Project Link |

| --- | --- | --- |

| [Synthesizing Programs for Images using Reinforced Adversarial Learning](http://proceedings.mlr.press/v80/ganin18a/ganin18a.pdf) | ICML 2018 | [[Code]](https://github.com/deepmind/spiral) |

| [Unsupervised Doodling and Painting with Improved SPIRAL](https://arxiv.org/abs/1910.01007) | arxiv 1910 | [[Project]](https://learning-to-paint.github.io/) |

- Learning with built-in differentiable rendering module

| Paper | Source | Code/Project Link |

| --- | --- | --- |

| [Towards Layer-wise Image Vectorization](https://ma-xu.github.io/LIVE/index_files/CVPR22_LIVE_main.pdf) | CVPR 2022 | [[code]](https://github.com/ma-xu/LIVE) [[project]](https://ma-xu.github.io/LIVE/) |

| [Paint Transformer: Feed Forward Neural Painting with Stroke Prediction](https://arxiv.org/abs/2108.03798) | ICCV 2021 | [[code]](https://github.com/Huage001/PaintTransformer) |

| [Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes](https://arxiv.org/abs/2103.17185) | CVPR 2021 | [[code]](https://github.com/CompVis/brushstroke-parameterized-style-transfer) |

| [Im2Vec: Synthesizing Vector Graphics without Vector Supervision](https://arxiv.org/abs/2102.02798) | CVPR 2021 | [[Project]](http://geometry.cs.ucl.ac.uk/projects/2021/im2vec/) [[code]](https://github.com/preddy5/Im2Vec) |

| [Stylized Neural Painting](https://arxiv.org/abs/2011.08114) | CVPR 2021 | [[Code]](https://github.com/jiupinjia/stylized-neural-painting) [[project]](https://jiupinjia.github.io/neuralpainter/) |

| [Learning to Paint With Model-based Deep Reinforcement Learning](http://openaccess.thecvf.com/content_ICCV_2019/papers/Huang_Learning_to_Paint_With_Model-Based_Deep_Reinforcement_Learning_ICCV_2019_paper.pdf) | ICCV 2019 | [[code]](https://github.com/megvii-research/ICCV2019-LearningToPaint) |

| [Strokenet: A neural painting environment](https://openreview.net/forum?id=HJxwDiActX) | ICLR 2019 | [[Code]](https://github.com/vexilligera/strokenet) |

| [Neural Painters: A learned differentiable constraint for generating brushstroke paintings](https://arxiv.org/abs/1904.08410) | arxiv 1904 | [[Code]](https://github.com/reiinakano/neural-painters-pytorch) |

| [Learning to Sketch with Deep Q Networks and Demonstrated Strokes](https://arxiv.org/abs/1810.05977) | arxiv 1810 |  |

| [Unsupervised Image to Sequence Translation with Canvas-Drawer Networks](https://arxiv.org/abs/1809.08340) | arxiv 1809 |  |

- Vectorization

| Paper | Source | Code/Project Link |

| --- | --- | --- |

| [Depixelizing pixel art](https://dl.acm.org/doi/abs/10.1145/1964921.1964994) | SIGGRAPH 2011 |  |

| [Perception-Driven Semi-Structured Boundary Vectorization](http://www.cs.ubc.ca/labs/imager/tr/2018/PerceptionDrivenVectorization/perception-driven-vectorization.pdf) | SIGGRAPH 2018 | [[Webpage]](http://www.cs.ubc.ca/labs/imager/tr/2018/PerceptionDrivenVectorization/) |

| [PolyFit: Perception-aligned Vectorization of Raster Clip-art via Intermediate Polygonal Fitting](http://www.cs.ubc.ca/labs/imager/tr/2020/ClipArtVectorization/paper.pdf) | SIGGRAPH 2020 | [[Webpage]](http://www.cs.ubc.ca/labs/imager/tr/2020/ClipArtVectorization/) [[Code]](https://github.com/dedoardo/polyfit) |

| [ClipGen: A Deep Generative Model for Clipart Vectorization and Synthesis](https://ieeexplore.ieee.org/abstract/document/9444657) | TVCG 2021 |  |

| [TCB-Spline-Based Image Vectorization](https://dl.acm.org/doi/10.1145/3513132) | TOG 2022 |  |