罗婧文, 熊火花. 抗战时期人物画的继承与创新——以傅抱石、张大千《西园雅集》图为中心的考察[J]. 内江师范学院学报, 2024, 39(11): 33-36. DOI:10.13603/j.cnki.51-1621/z.2024.11.006
引用本文: 罗婧文, 熊火花. 抗战时期人物画的继承与创新——以傅抱石、张大千《西园雅集》图为中心的考察[J]. 内江师范学院学报, 2024, 39(11): 33-36.DOI:10.13603/j.cnki.51-1621/z.2024.11.006
LUO Jingwen, XIONG Huohua. Inheritance and Innovation in Figure Painting during the Period of the War of Resistance by the Chinese People against Japanese Aggression: An Examination Centered on Xiyuan Yajiby FU Baoshi and ZHANG Daqian[J]. Journal of Neijiang Normal University, 2024, 39(11): 33-36. DOI:10.13603/j.cnki.51-1621/z.2024.11.006
Citation: LUO Jingwen, XIONG Huohua. Inheritance and Innovation in Figure Painting during the Period of the War of Resistance by the Chinese People against Japanese Aggression: An Examination Centered onXiyuan Yajiby FU Baoshi and ZHANG Daqian[J].Journal of Neijiang Normal University, 2024, 39(11): 33-36.DOI:10.13603/j.cnki.51-1621/z.2024.11.006

抗战时期人物画的继承与创新——以傅抱石、张大千《西园雅集》图为中心的考察

Inheritance and Innovation in Figure Painting during the Period of the War of Resistance by the Chinese People against Japanese Aggression: An Examination Centered onXiyuan Yajiby FU Baoshi and ZHANG Daqian

  • 摘要:在抗战时期,中国美术家强烈的民族意识和对中国绘画转换生机的渴求,为中国画的发展焕发出新的活力。抗战时期的中国古典人物故事绘画在坚守传统的画家笔下,突破了现实主义题材的束缚,为古典人物绘画的探索与发展提供了更多的可能性。研究抗战时期傅抱石及张大千创作的《西园雅集》图,具有重要的历史价值与时代意义。

    Abstract:During the period of the War of Resistance by the Chinese People against Japanese Aggression (1931-1945), the collective national consciousness of Chinese artists and their yearning for revitalizing Chinese painting infused new vitality into the development of Chinese art. The classical narrative paintings of this period were crafted by artists committed to tradition. The artists transcended the constraints of realistic themes, thereby providing greater possibilities for the exploration and development of classical figure painting. Hence, the study of FU Baoshi and ZHANG Daqian’s creation of Xiyuan Yajiduring the wartime is of historical value and significance.

/

    返回文章
    返回
      Baidu
      map