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"Lovely Sweet Dream"

The images and videos that make up the NFTs in this collection, titled Dream JournalML, were created through a very complex process with the goal of capturing images from my dreams. To achieve this, I used cutting-edge neural-network machine learning algorithms in addition to several very involved manual techniques.

First, I compiled entries from my personal dream journal into text files for use with the first machine learning algorithm, which generates images from text; however, it wasn't as simple as merely pasting the text and then receiving an image. In fact, to get the most accurate visual results, it was extremely important to alter the syntax of the text entries to best fit the design of the algorithm. After this, the images were automatically upscaled by another algorithm. The images generated from this step were interesting enough, but they still weren't quite right; they needed to somehow be stylized in the form of my subconscious to truly capture the incredibly surreal atmosphere of my dreams. In order to "simulate" my subconscious (abstractly speaking of course), I compiled a set of over 2,000 image files which included original artwork, photographs, paintings, film stills, video game screenshots, anything that I thought I could directly link to the imagery I subjectively experienced in my dreams. This ultimately was the most important step; after compiling this set of images, I used it to "teach" the final neural-network algorithm how to stylize the images generated from the first few steps in the fashion of my real-life dreaming brain. The results are strikingly accurate to the imagery I subjectively experienced, and I consider this artistic experiment a success. Moreover, it has opened up my eyes to the massive potential for more experimental art projects in the future using both neural-network and blockchain technology, and I am now working on a new, even more ambitious project.

Dream JournalML collection image

A series of images generated from text entries from my personal dream journal by a convoluted process including several different machine learning algorithms chained together, as well as a manual step in the process. I wanted to "simulate" my subconscious, abstractly speaking, and I did so by compiling approximately 2000 images ranging from photos, paintings, films stills, video game screenshots, anything that I thought had a direct link to the imagery in my dreams. The last step in the process stylizes the images initially generated from the text entries using this database, and the result is stunningly close to what I subjectively perceived in my dreams. They are also striking surrealist and abstract works on their own, but most of them I can directly relate to an actual dream I've had in the past.

コントラクトのアドレス0x495f...7b5e
トークン ID
トークン標準ERC-1155
チェーンEthereum
メタデータ集中
クリエイター収益
0%

Lovely Sweet Dream

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Lovely Sweet Dream

visibility
50 閲覧回数
  • 価格
    米ドル価格
    数量
    有効期限
    送信元
  • 価格
    米ドル価格
    数量
    最低価格差
    有効期限
    送信元

"Lovely Sweet Dream"

The images and videos that make up the NFTs in this collection, titled Dream JournalML, were created through a very complex process with the goal of capturing images from my dreams. To achieve this, I used cutting-edge neural-network machine learning algorithms in addition to several very involved manual techniques.

First, I compiled entries from my personal dream journal into text files for use with the first machine learning algorithm, which generates images from text; however, it wasn't as simple as merely pasting the text and then receiving an image. In fact, to get the most accurate visual results, it was extremely important to alter the syntax of the text entries to best fit the design of the algorithm. After this, the images were automatically upscaled by another algorithm. The images generated from this step were interesting enough, but they still weren't quite right; they needed to somehow be stylized in the form of my subconscious to truly capture the incredibly surreal atmosphere of my dreams. In order to "simulate" my subconscious (abstractly speaking of course), I compiled a set of over 2,000 image files which included original artwork, photographs, paintings, film stills, video game screenshots, anything that I thought I could directly link to the imagery I subjectively experienced in my dreams. This ultimately was the most important step; after compiling this set of images, I used it to "teach" the final neural-network algorithm how to stylize the images generated from the first few steps in the fashion of my real-life dreaming brain. The results are strikingly accurate to the imagery I subjectively experienced, and I consider this artistic experiment a success. Moreover, it has opened up my eyes to the massive potential for more experimental art projects in the future using both neural-network and blockchain technology, and I am now working on a new, even more ambitious project.

Dream JournalML collection image

A series of images generated from text entries from my personal dream journal by a convoluted process including several different machine learning algorithms chained together, as well as a manual step in the process. I wanted to "simulate" my subconscious, abstractly speaking, and I did so by compiling approximately 2000 images ranging from photos, paintings, films stills, video game screenshots, anything that I thought had a direct link to the imagery in my dreams. The last step in the process stylizes the images initially generated from the text entries using this database, and the result is stunningly close to what I subjectively perceived in my dreams. They are also striking surrealist and abstract works on their own, but most of them I can directly relate to an actual dream I've had in the past.

コントラクトのアドレス0x495f...7b5e
トークン ID
トークン標準ERC-1155
チェーンEthereum
メタデータ集中
クリエイター収益
0%
keyboard_arrow_down
イベント
価格
開始日
終了日
日付