PortraitAes: Intent-Conditioned Structured Portrait Aesthetic Assessment
cs.CV
Submitted: 2026-10-04
Updated: 2026-10-12
Project page: https://portraitaes.github.io
Sources
- Qwen3-VL Technical Report
- UniPercept: Towards Unified Perceptual-Level Image Understanding across Aesthetics, Quality, Structure, and Texture
- AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception
- Qwen-Image-Bench: From Generation to Creation in Text-to-Image Evaluation
- HumanAesExpert: Advancing a Multi-Modality Foundation Model for Human Image Aesthetic Assessment
- BPR: Bayesian Personalized Ranking from Implicit Feedback
- PortraitCraft: A Benchmark for Portrait Composition Understanding and Generation
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
- Q-Bench-Portrait: Benchmarking Multimodal Large Language Models on Portrait Image Quality Perception
- Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
- UNIAA: A Unified Multi-modal Image Aesthetic Assessment Baseline and Benchmark
- InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
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