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Record W4396832426 · doi:10.1145/3613904.3642128

InkBrush: A Sketching Tool for 3D Ink Painting

2024· article· en· W4396832426 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicComputer Graphics and Visualization Techniques
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPaintingInkwellComputer scienceComputer graphics (images)Engineering drawingHuman–computer interactionArtVisual artsEngineeringOperating system

Abstract

fetched live from OpenAlex

InkBrush is a new sketch-based 3D drawing tool for creating 3D ink paintings using free-form 3D ink strokes. It offers a digital calligraphy brush and various editing tools to generate realistic ink-like brush strokes with attributes like hairy edges, ink drips, and scattered dots. Users can adjust parameters such as moisture, color, darkness, dryness, and stroke style to customize the appearance of the brush strokes. The development of InkBrush was guided by a design study involving artists and designers. It was developed as a plugin for Blender, a popular 3D modeling tool, and its effectiveness and usability were evaluated through a user study involving 75 participants. Preliminary feedback from the participants was overwhelmingly positive, indicating that InkBrush was intuitive and easy to use. Following this, we also sought in-depth assessments from experts in ink painting and 3D design. Their evaluations further demonstrated the effectiveness of InkBrush.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.863
Threshold uncertainty score0.751

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.310
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it