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Aesthetics Quality Assessment
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Automatic assessment of aesthetic-related subjective ratings.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
Understanding Aesthetics with Language: A Photo Critique Dataset for Aesthetic Assessment
OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression
Series Photo Selection via Multi-view Graph Learning
Image Composition Assessment with Saliency-augmented Multi-pattern Pooling
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression
Personalized Image Aesthetics Assessment via Meta-Learning With Bilevel Gradient Optimization
Composition-Aware Image Aesthetics Assessment
Effective Aesthetics Prediction with Multi-level Spatially Pooled Features
Attention-based Multi-Patch Aggregation for Image Aesthetic Assessment
NIMA: Neural Image Assessment
A-Lamp: Adaptive Layout-Aware Multi-Patch Deep Convolutional Neural Network for Photo Aesthetic Assessment
ILGNet: Inception Modules with Connected Local and Global Features for Efficient Image Aesthetic Quality Classification using Domain Adaptation
Photo Aesthetics Ranking Network with Attributes and Content Adaptation
Deep Aesthetic Quality Assessment with Semantic Information
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