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chinesecontemporart emptyfilms

[kshshu]

Cai Guo-Qiang, Sky Ladder. 2015.

On June 15…

[milquetoastism]

I feel you now. You are warm, wet, slightly salty to the taste. Where do you want to go?

[milquetoastism]

[elysiabryan]

The more you throw black into a color, the more dreamy it gets…Black has depth. It’s like a little egress, you can go into it, and because it keeps continuing to be dark, the mind kicks in, and a lot of things that are going on there become manifest. And you start seeing what you’re afraid of. You start seeing what you love and it becomes like a dream.

David Lynch (via hellodearheart)

[emptyfilms]

Gyakufunsha kazoku aka The Crazy Family (Gakuryu Ishii, 1984)

[emptyfilms]

Yayoi Kunama: I Love Me (Takako Matsumoto, 2008)

[emptyfilms]

Gyakufunsha kazoku aka The Crazy Family (Gakuryu Ishii, 1984)

[theyvcreation-deactivated202401]

[theyvcreation-deactivated202401]

[context-no-context]

some images of clothes that I normally wear 

[ripeform-deactivated20260403]

This is beautiful Sam

[uvre-deactivated20160506]

Almudena Lobera

[n-a-reference]

Richard Serra - East-West West-East

[nontemporary]

[prostheticknowledge]

A Book from the Sky 天书

Another Neural Network Chinese character project - this one by Gene Kogan which generates new Kanji from a handwritten dataset:

These images were created by a deep convolutional generative adversarial network (DCGAN) trained on a database of handwritten Chinese characters, made with code by Alec Radford based on the paper by Radford, Luke Metz, and Soumith Chintala in November 2015.

The title is a reference to the 1988 book by Xu Bing, who composed thousands of fictitious glyphs in the style of traditional Mandarin prints of the Song and Ming dynasties.

A DCGAN is a type of convolutional neural network which is capable of learning an abstract representation of a collection of images. It achieves this via competition between a “generator” which fabricates fake images and a “discriminator” which tries to discern if the generator’s images are authentic (more details). After training, the generator can be used to convincingly generate samples reminiscent of the originals.

… a DCGAN is trained on a labeled subset of ~1M handwritten simplified Chinese characters, after which the generator is able to produce fake images of characters not found in the original dataset.

More Here

[mpdrolet]

Police helicopter, 1995

Wolfgang Tillmans

[mpdrolet]

Peter Steinhauer

[spring2000]