[PROXY](https://wild.xyz/loucas-braconnier/proxy/) is a collection of 639 portraits generated from a pool of 322 pixel grids. Each grid carries the algorithmically evaluated dominant tones from photographic portraits of the United Nations’ global leaders found through a peculiarity of the UN Photo Library. The collection is a class photo featuring member states representatives and leaders of all departments, offices, subsidiaries, funds, programmes, bodies, commissions, agencies and organizations. 

In an attempt to refigure figuration, this collection abstracts away all sense of representation. It puts forward curated outputs generated by countless repetitive image interpolations of the initial pixel grids–transmuted surrogates of select political avatars.

Ether

PROXY #168

PROXY by Figure31

[Wildxyz Residency, Season 0](https://wild.xyz/artists-and-collections/)

Description: In LUX, Loucas subverts traditional photography teachings and presents a series of images taken of the sun. More concerned with the exploration of tools throughout the process, this work culminates in strikingly bold pieces that are as imposing as the sun itself. Each piece will evolve over the course of 11 years, a reflection of the sun cycles, inviting collectors onto a journey with Loucas that will challenge convention.

View the Collection: [LUX by Figure31](https://wild.xyz/loucas-braconnier/lux/)

About the Artist: [Figure31](https://wild.xyz/loucas-braconnier/)

Follow Figure31: [@figure31_](https://twitter.com/figure31_)

Follow Wild: [@wildxyz](https://twitter.com/wildxyz)

LUX 166

LUX by Figure31

Wrapped Ether

Lyam is a collection of 340 low-fidelity generated images.

Each image is made from a different scene frame of Alain Renais' 1961 Last Year at Marienbad. Each frame is autonomously reduced to 10 different inverted grayscale values on a 4 x 10-pixel grid. This grid is then scaled up 1000 times using a bilinear interpolation algorithm.

The title of each artwork of the collection gives enough information to recreate it, the NFT is independent of outside storage solutions and its perpetuity is assured.

Each title follows this format: LYAM_serial number_grid format_grayscale values_scale_interpolation algorithm


LYAM_322_10X4_191132155174174234234174155234207174190132156155132191219234219191155155132105155132219234219190174132104155207220234191_1:1000_bilinear

Lyam by Figure31

Manifestations of fictive identities rendered in the style of shared visual language. Human markers, fingerprints, imagined by a machine, embodied in collective memory.  

MARKS are GAN-generated images of fingerprints expressed in the shared visual language of blockchain art aesthetics: pixelation. They are unique identifiers of a fictive digital identity, coupled with names generated from a list of shortened common surnames. Once five of them are assembled, they can be used to claim a set of five rings. This second state, an unbreakable link between the digital and the physical realm, creates a trust bond between the artist and the collectors. Information about an Ethereum wallet address, private key, and a domain name is engraved on the inner side of the rings.

There are 500 MARKS, and only 42 sets of rings are available (42 have been claimed as of 22/07/2022 01:45 EST)

By Figure31 in collaboration with (GALLERY)

MARK by Figure31

Sensors. Proof of photographic space. They exist as much for the viewer as for the tools used to make them. They emanate from the world, but tell nothing about it. They are drawings of the map in the machine. They have neither subject nor depth. They aren’t meant to be read but seen up close. They show what the camera sensor sees, what is normally invisible. Digital noise. Salt.

Starting from a base of 180 photographs, the NFTs in SALT will first display a different image and name in this set and cycle to the next on a daily basis. In sum, the underlying smart contract sets all 180 NFTs into an endless, asynchronous loop. No owner possesses a specific image, all are collectively shared.

By Figure31 and 0xmons in collaboration with JPG