Multidimensional Observer Model and Perceptual Dimensions of Human Image Quality Assessment

arXiv:2609.38487 · cs.CV · Submitted 2026-09-29 · Read on arXiv

cs.CV

Submitted: 2026-09-29

Updated: 2026-09-29

Comments: Accepted at NeurIPS 2026. 25 pages

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 18× in this paper · explained in 1 episode
• Sparsity — 14× in this paper · explained in 4 episodes
• Annotator Agreement — 7× in this paper · explained in 1 episode
• Monte Carlo — 4× in this paper
• ACM Transactions on Graphics — 3× in this paper
• Benchmark — 3× in this paper · explained in 2 episodes
• Pairwise Comparisons — 3× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Elias — 2× in this paper · explained in 2 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Bradley-Terry model — 1× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Core — 1× in this paper · explained in 2 episodes
• Discrete Cosine Transform — 1× in this paper
• Fisher Information — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Gradient Flow — 1× in this paper · explained in 2 episodes
• Inferior Temporal — 1× in this paper
• Redundancy — 1× in this paper · explained in 2 episodes
• Scaling Laws — 1× in this paper · explained in 4 episodes
• Straight-Through Estimator — 1× in this paper
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing
• LowPowAR: Power-Constrained Tone Mapping for Augmented Reality
• Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
• Auto-Encoding Variational Bayes
• A practical guide and software for analysing pairwise comparison experiments

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