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Torso 3D nº 2 Single Piece - Limited Edition 1 of 1 Print

Luiz Carlos Marques Carrera

Brazil

Open Edition Prints Available:
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Fine Art Paper

Fine Art Paper

Canvas

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12 x 8 in ($88)

12 x 8 in ($88)

24 x 16 in ($153)

36 x 24 in ($252)

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White ($80)

Black ($80)

White ($80)

Natural Wood ($80)

Metal: Light Pewter ($150)

Metal: Dark Pewter ($150)

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$168
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About The Artwork

Diversity is a collection of singles pieces 3D-painted torso sculptures inspired by the real and necessary possibility of peaceful and constructive conviction and mutual respect between men of all genres, races, color, beliefs, religions, political opinions and an invitation to freedom of expression that provokes Social inclusion. The works can be ordered printed on fine art paper hahnemulhe and canvas. Wood could be considered.

Details & Dimensions

Print:Giclee on Fine Art Paper

Size:12 W x 8 H x 0.1 D in

Size with Frame:17.25 W x 13.25 H x 1.2 D in

Shipping & Returns

Delivery Time:Typically 5-7 business days for domestic shipments, 10-14 business days for international shipments.

Luiz Carlos Carrera is born in São Paulo, Brazil in 1959. After his doctorate in engineering in France, he worked for many years as a full time Professor at importante technological universities . He currently works in his Art Studio as an illustrator for writers in Brazil, Spain and Mexico, as well as designing the covers of several published books and digital painter, participating in several exhibitions in Brazil and abroad. Self-taught artist dedicate for may years to digital art that combining high-resolution photography with illustration and digital manipulation. From the peculiar and original integration of several techniques present in the most advanced softwares in generation and post treatment of images, his creative method transforms the simplest and most ordinary photographs into abstract and expressionist art with its own style replete with symbolism. Recentely he is dedicated to creation of paintigs using Artificial Intelligence (IA), which is becoming one of the most important and promising trends in computational generative imaging.

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