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Record W1994607523 · doi:10.1145/2661229.2661246

Toward BxDF display using multilayer diffraction

2014· article· en· W1994607523 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueACM Transactions on Graphics · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvanced Optical Imaging Technologies
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of ChinaDivision of Information and Intelligent SystemsChina Scholarship CouncilMassachusetts Institute of Technology
KeywordsComputer scienceRadianceComputer graphics (images)Range (aeronautics)GraphicsFabricationDiffractionComputer graphicsOpticsPhysicsMaterials science

Abstract

fetched live from OpenAlex

With a wide range of applications in product design and optical watermarking, computational BxDF display has become an emerging trend in the graphics community. In this paper, we analyze the design space of BxDF displays and show that existing approaches cannot reproduce arbitrary BxDFs. In particular, existing surface-based fabrication techniques are often limited to generating only specific angular frequencies, angle-shift-invariant radiance distributions, and sometimes only symmetric BxDFs. To overcome these limitations, we propose diffractive multilayer BxDF displays. We derive forward and inverse methods to synthesize patterns that are printed on stacked, high-resolution transparencies and reproduce prescribed BxDFs with unprecedented degrees of freedom within the limits of available fabrication techniques.

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)0.000
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.844
Threshold uncertainty score0.758

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.033
GPT teacher head0.268
Teacher spread0.235 · 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