里希特艺术研究

【作者】 葛晓成；

【导师】 张晓凌；

【作者基本信息】 中国艺术研究院 ， 美术， 2011， 硕士

【摘要】 里希特使用详细图录来评价现实,从上层到下层,修饰过去的流派——人物作品、静物、风景、肖像——探索各种题材,他认为任何题材都具有同等的重要性。里希特认为,照片所传达的方式和内容,都是他的思想来源。摄影和绘画相比,摄影更富有哲学意义。除了通过画照片可以避免绘画的风格化,里希特总是试图通过摄影竭力避免绘画的虚幻性,因为在他看来,绘画在接近表象的时候,其所表现的意义往往被扭曲。在里希特看来“真正的意义是被外表覆盖着的”。里希特喜欢一切没有风格的东西。模糊的形象是他作品的标签,里希特使用的多种样式的模糊效果,或非绘画技巧,实际上是经过深思的。绘画的模糊性美学观念一度是里希特的最大特点之一,模糊的处理方法构成了里希特的最大风格。里希特绘画的模糊美学特征体现在以下几点：一是图像边缘的模糊处理；二是图像形式之于观念之前,避免图像的叙事性特征；三是强调了灰色及光在其作品的特殊性；四是不追求客观性、系统性、倾向性,没有计划,没有风格。里希特的绘画则应归于“图像性绘画”一类。图像性绘画强调图像在先,图像特别是摄影图像本身就是客观事物本身。借助摄影图像,客观冷静的复制和再现照片,可以达到在绘画中隐藏自身直接的表意目的。更多还原

【Abstract】 Richter uses detailed pictures to evaluate reality, he probes into various subjects of painting——character、still life、landscape、portrait etc., which are of the same importance in his eyes.Richter believes that the way and content expressed by photographs are the source of his thought. Compared with painting, he thinks photography contained more philosophy significance. Richter tries to avoid the stylize as well as the illusion in painting by means of photo painting, he prefers everything without styles.The fuzzy image is the label of Richter’s works. He actually think deep inside the various fuzzy result used in his paintings.The biggest feature of Richter in his drawings is the idea of fuzziness and aesthetics. The fuzzy method is the biggest style of his painting. The fuzziness aesthetics in his drawings have several features:First is the fuzzy processing for the picture border; secondly, the form of the pictures priors to the concept, avoiding the narrative features of pictures; the third is stressing the particularity of gray and light used in his works;the fourth is not persuing objectivity、systematicity and orientation, no plan and no style.The paintings of Richter belongs to "image painting" which emphasize images first. Images, especially photographic images are the scenes themselves. It can be obtained to conceal the direct purpose of expression in drawings through photographic images, calm and objective reproduction of photographs.更多还原