The East Asian transmission of Southern Song Zen Buddhist painting base on compositional perspective

The Southern Song aesthetics of simplicity, detachment, and reverence for nature exerted a profound influence on East Asian ink painting. Yet existing scholarship has limited adoption of systematic quantitative approaches. This study applies a machine learning—based image block entropy model to quantitatively examine compositional patterns in figure paintings by Liang Kai, Muqi, and Sesshū Tōyō. The analysis reveals shared technical and iconographic tendencies, including consistently lower-central placement of the primary subject, prominent upper inscriptions, and deliberately sparse backgrounds—features that together establish a “lowered center of gravity” composition distinct from the conventions of court painting. Sesshū adapted these traditions, utilizing bold lines and intricate detail, which resonated with Japanese aesthetic sensibilities. Compared to academic rigidity, Sesshū’s compositions emphasize spontaneity, reflecting Zen improvisation. By integrating computational modeling with art-historical inquiry, this study advances a replicable quantitative framework for analyzing the cross-cultural transmission and transformation of Zen painting styles.

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Publication Details

Journal
npj Heritage Science
Published
2026-02-26
DOI
https://doi.org/10.1038/s40494-026-02297-x
Primary Topic
Aesthetic Perception and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

The East Asian transmission of Southern Song Zen Buddhist painting base on compositional perspective

Junxuan Li, Rongrong Fu, Ruiyang Fan
npj Heritage Science
Aesthetic Perception and Analysis
article

The East Asian transmission of Southern Song Zen Buddhist painting base on compositional perspective

Junxuan Li, Rongrong Fu, Ruiyang Fan
article en

Abstract

The Southern Song aesthetics of simplicity, detachment, and reverence for nature exerted a profound influence on East Asian ink painting. Yet existing scholarship has limited adoption of systematic quantitative approaches. This study applies a machine learning—based image block entropy model to quantitatively examine compositional patterns in figure paintings by Liang Kai, Muqi, and Sesshū Tōyō. The analysis reveals shared technical and iconographic tendencies, including consistently lower-central placement of the primary subject, prominent upper inscriptions, and deliberately sparse backgrounds—features that together establish a “lowered center of gravity” composition distinct from the conventions of court painting. Sesshū adapted these traditions, utilizing bold lines and intricate detail, which resonated with Japanese aesthetic sensibilities. Compared to academic rigidity, Sesshū’s compositions emphasize spontaneity, reflecting Zen improvisation. By integrating computational modeling with art-historical inquiry, this study advances a replicable quantitative framework for analyzing the cross-cultural transmission and transformation of Zen painting styles.

npj Heritage ScienceVol. 14(1)
East China University of Science and Technology (CN)
Openalex Percentile: Top 45%
Aesthetic Perception and Analysis
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