| title | PhotoGuider: Composition-Aware Cropping and 360^{circ} View Framing with Explainable Photographic Assessments |
|---|---|
| authors | Yuan-Kang Lee, Kuan-Lin Chen, Chia-Che Chang, Yu-Lun Liu |
| date | 2026-11-02 |
| venue | arXiv (preprint, not peer reviewed) |
| id | arXiv:2611.02897 |
| upvotes | 29 (Hugging Face Daily Papers, 2026-11-04) |
| links | abs pdf hf code |
| cite | |
| abstract | Traditional image cropping assumes the photograph already contains the composition worth keeping, and asks only where to crop. A full 360^{circ} scene offers no such guarantee: the viewing direction in a scene has to be discovered before anything can be framed. We present PhotoGuider, a measure-then-frame method that answers both questions with compact learned scorers over one shared set of composition-aware features. The designed features are extracted using foundation and task-specific vision models and structured into four photographic tokens: Subject, Composition, Aesthetics, and Integrity. Our MLLM explainer is fine-tuned to generate composition-related explanations conditioned on images and measured token assessments. To our knowledge, PhotoGuider is the first method to combine explicit composition-based direction selection in 360^{circ} panoramas with refined framing, camera-parameter output for native re-rendering, and measurement-conditioned explanations. On two standard 2D cropping benchmarks, PhotoGuider achieves the highest average mIoU performance against ground-truth crops. In a blind ranking study, 120 participants ranked three cropping methods over 100 panoramic scenes from the public Poly Haven HDRI library, placing our framings first in 53.2% of cases, against 27.3% and 19.5% for two strong alternatives. Project page: https://ntuneillee.github.io/research/photoguider/ |
bibtex
@misc{lee2026photoguider,
title={PhotoGuider: Composition-Aware Cropping and 360^circ View Framing with Explainable Photographic Assessments},
author={Yuan-Kang Lee and Kuan-Lin Chen and Chia-Che Chang and Yu-Lun Liu},
year={2026},
eprint={2611.02897},
archivePrefix={arXiv},
url={https://arxiv.org/abs/2611.02897}
}