mlsanityData to 7 Oct 2026

dualFace:Two-Stage Drawing Guidance for Freehand Portrait Sketching

arXiv 2104.12297 ↗First posted 26 Apr 2021cs.GR cs.CVcited by 8

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Abstract (arXiv)

In this paper, we propose dualFace, a portrait drawing interface to assist users with different levels of drawing skills to complete recognizable and authentic face sketches. dualFace consists of two-stage drawing assistance to provide global and local visual guidance: global guidance, which helps users draw contour lines of portraits (i.e., geometric structure), and local guidance, which helps users draws details of facial parts (which conform to user-drawn contour lines), inspired by traditional artist workflows in portrait drawing. In the stage of global guidance, the user draws several contour lines, and dualFace then searches several relevant images from an internal database and displays the suggested face contour lines over the background of the canvas. In the stage of local guidance, we synthesize detailed portrait images with a deep generative model from user-drawn contour lines, but use the synthesized results as detailed drawing guidance. We conducted a user study to verify the effectiveness of dualFace, and we confirmed that dualFace significantly helps achieve a detailed portrait sketch. see http://www.jaist.ac.jp/~xie/dualface.html

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 17 of its 44 references that are in the map. First posted on arXiv 26 Apr 2021.

Builds on

17 of 44 references.

References · 17

  1. 2020Encoding in Style: a StyleGAN Encoder for Image-to-Image Translationcited by 727
  2. 2017Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networkscited by 707
  3. 2018BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentationcited by 645
  4. 2019MaskGAN: Towards Diverse and Interactive Facial Image Manipulationcited by 624
  5. 2016Generative Visual Manipulation on the Natural Image Manifoldcited by 348
  6. 2017Visual Attribute Transfer through Deep Image Analogycited by 123
  7. 2016Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesiscited by 102
  8. 2017Deep Sketch Hashing: Fast Free-hand Sketch-Based Image Retrievalcited by 68
  9. 2019Interactive Sketch & Fill: Multiclass Sketch-to-Image Translationcited by 51
  10. 2020Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketchescited by 37
  11. 2020Deep Generation of Face Images from Sketchescited by 32
  12. 2018FaceShop: Deep Sketch-based Face Image Editingcited by 24
5 more
  1. 2019LinesToFacePhoto: Face Photo Generation from Lines with Conditional Self-Attention Generative Adversarial Networkcited by 23
  2. 2017Smart, Sparse Contours to Represent and Edit Imagescited by 19
  3. 2020DeepFacePencil: Creating Face Images from Freehand Sketchescited by 19
  4. 2020Modeling Artistic Workflows for Image Generation and Editingcited by 11
  5. 2021Sketch-based Normal Map Generation with Geometric Samplingcited by 3

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Cited by year

Citing papers per year: 2021: 1; 2022: 3; 2023: 1; 2024: 0; 2025: 3.

8 papers.