Papers Art Analysis
“Art Analysis” 태그가 달린 논문 42편 · 필터 해제
CognArtive: Large Language Models for Automating Art Analysis and Decoding Aesthetic Elements
Art, as a universal language, can be interpreted in diverse ways, with artworks embodying profound meanings and nuances. The advent of Large Language Models (LLMs) and the availability of Multimodal Large Language Models…
Art AnalysisCNN-Based Classification of Persian Miniature Paintings from Five Renowned Schools
This article addresses the gap in computational painting analysis focused on Persian miniature painting, a rich cultural and artistic heritage. It introduces a novel approach using Convolutional Neural Networks (CNN) to …
Art Analysis1-2-3-Go! Policy Synthesis for Parameterized Markov Decision Processes via Decision-Tree Learning and Generalization
Despite the advances in probabilistic model checking, the scalability of the verification methods remains limited. In particular, the state space often becomes extremely large when instantiating parameterized Markov deci…
Art AnalysisSet2Seq Transformer: Learning Permutation Aware Set Representations of Artistic Sequences
We propose Set2Seq Transformer, a novel sequential multiple instance architecture, that learns to rank permutation aware set representations of sequences. First, we illustrate that learning temporal position-aware repres…
Art AnalysisLearning-To-RankMultiple Instance LearningPositionGalleryGPT: Analyzing Paintings with Large Multimodal Models
Artwork analysis is important and fundamental skill for art appreciation, which could enrich personal aesthetic sensibility and facilitate the critical thinking ability. Understanding artworks is challenging due to its s…
Art AnalysisPoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis
Point cloud analysis has seen substantial advancements due to deep learning, although previous Transformer-based methods excel at modeling long-range dependencies on this task, their computational demands are substantial…
Art AnalysisComputational EfficiencyMambaGenerative AI in the Construction Industry: A State-of-the-art Analysis
The construction industry is a vital sector of the global economy, but it faces many productivity challenges in various processes, such as design, planning, procurement, inspection, and maintenance. Generative artificial…
Art AnalysisLanguage ModellingLarge Language ModelRAG+1AI Hazard Management: A framework for the systematic management of root causes for AI risks
Recent advancements in the field of Artificial Intelligence (AI) establish the basis to address challenging tasks. However, with the integration of AI, new risks arise. Therefore, to benefit from its advantages, it is es…
Art AnalysisManagementARTxAI: Explainable Artificial Intelligence Curates Deep Representation Learning for Artistic Images using Fuzzy Techniques
Automatic art analysis employs different image processing techniques to classify and categorize works of art. When working with artistic images, we need to take into account further considerations compared to classical i…
Art AnalysisExplainable artificial intelligenceimage-classificationImage Classification+1Representing and extracting knowledge from single cell data
Single-cell analysis is currently one of the most high-resolution techniques to study biology. The large complex datasets that have been generated have spurred numerous developments in computational biology, in particula…
Art AnalysisNot Only Generative Art: Stable Diffusion for Content-Style Disentanglement in Art Analysis
The duality of content and style is inherent to the nature of art. For humans, these two elements are clearly different: content refers to the objects and concepts in the piece of art, and style to the way it is expresse…
Art AnalysisDisentanglementDeep neural network techniques for monaural speech enhancement: state of the art analysis
Deep neural networks (DNN) techniques have become pervasive in domains such as natural language processing and computer vision. They have achieved great success in these domains in task such as machine translation and im…
Art AnalysisImage GenerationMachine TranslationSpeaker Separation+2A Challenging Benchmark of Anime Style Recognition
Given two images of different anime roles, anime style recognition (ASR) aims to learn abstract painting style to determine whether the two images are from the same work, which is an interesting but challenging problem. …
Art AnalysisFace RecognitionPerson Re-IdentificationAutomatic Text Summarization Methods: A Comprehensive Review
One of the most pressing issues that have arisen due to the rapid growth of the Internet is known as information overloading. Simplifying the relevant information in the form of a summary will assist many people because …
Art AnalysisText SummarizationOptimal Order Simple Regret for Gaussian Process Bandits
Consider the sequential optimization of a continuous, possibly non-convex, and expensive to evaluate objective function $f$. The problem can be cast as a Gaussian Process (GP) bandit where $f$ lives in a reproducing kern…
Art AnalysisA deep learning approach to clustering visual arts
Clustering artworks is difficult for several reasons. On the one hand, recognizing meaningful patterns based on domain knowledge and visual perception is extremely hard. On the other hand, applying traditional clustering…
Art AnalysisClusteringDeep LearningRetrievalIntegrating Contextual Knowledge to Visual Features for Fine Art Classification
Automatic art analysis has seen an ever-increasing interest from the pattern recognition and computer vision community. However, most of the current work is mainly based solely on digitized artwork images, sometimes supp…
Art AnalysisAttributeClassificationInformation Retrieval+1Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings
We propose ArtSAGENet, a novel multimodal architecture that integrates Graph Neural Networks (GNNs) and Convolutional Neural Networks (CNNs), to jointly learn visual and semantic-based artistic representations. First, we…
Art AnalysisMulti-Task LearningPeriod EstimationTAGPySTACHIO: Python Single-molecule TrAcking stoiCHiometry Intensity and simulatiOn, a flexible, extensible, beginner-friendly and optimized program for analysis of single-molecule microscopy
As camera pixel arrays have grown larger and faster, and optical microscopy techniques ever more refined, there has been an explosion in the quantity of data acquired during routine light microcopy. At the single-molecul…
Art AnalysisBenchmarkingUnderstanding and Creating Art with AI: Review and Outlook
Technologies related to artificial intelligence (AI) have a strong impact on the changes of research and creative practices in visual arts. The growing number of research initiatives and creative applications that emerge…
Art Analysisobject-detectionObject DetectionRetrieval