I was responsible for the Assets Art Direction on all the man made Environment & Dressing pieces;
from the very first steps of production to sculpting benchmarks, directing, modeling, texturing, guiding and giving feedback to our talented outsourcing partners
to ensuring the final integration and polish on all sets together with one of my teams tallented Technical Asset Artist Bjorn Kjerrgren.
I was responsable for the highres zbrush model, detailing and mechanical engineering of the robot.
Concept: Miguel Angel Martinez
Texture Artist: Nazz Abdoel
Some kitbash parts used from Vitaly Bulgarov
Thanks to everyone involved in making the Robots.
2017 Sony Interactive Entertainment Europe. Horizon Zero Dawn is a trademark of Sony Interactive Entertainment America LLC. Developed by Guerrilla
And now we have everybody on artstation with the same boring looking portfolio.
I get it we need to focus on the art and how to present it but I really believe that people back in the days had the chance to give some soul to their portfolio, it's not only about a car's engine, it's also about his design ( not functional design, only good looking taste design ! )
I get that some people had great artwork with terrible websites, but it's not a reason to make a copy of everybody. At least use something like squarespace which gives you the opportunity to give some love to your website and CHOSE something.
This is cheesy as hell but it has way more life than this,
In the first one you are learning about the man who did this, and it's not just another robot who does 3D artwork.
And Yes I understand it's more easy for a recruiter to have a look at an artstation profil than your funky website with cool header, I didn't say don't be on artstation, we should be on artstation but at the same time have a cool website on the site, sell yourself better than another artist who are using the same instagramish artstation website template.
Artstation is a professional platform for artists looking to get hired in the industry, it's not tumblr, no one who's hiring you for your prop modelling skills cares about your HTML/CSS skills, especially when they're bad. I've seen so many people with ok-ish art but with god awful barely functional websites that look like they come from the neolithic era design wise.
Throughout my 25 something years of working for game industry it never was linkedin or anything web related that granted me a job but rather a former art lead, VP of production, art director or whoever I formerly worked or been contracted for asking me to join their new place of work , new company or got a recommendation about me from other people.
On Tuesday, members of the online community ArtStation began widely protesting AI-generated artwork by placing "No AI Art" images in their portfolios. By Wednesday, the protest images dominated ArtStation's trending page. The artists seek to criticize the presence of AI-generated work on ArtStation and to potentially disrupt future AI models trained using artwork found on the site.
Four days later, a widely shared tweet from Zekuga Art promoted the protest further on Twitter, bringing larger awareness to the movement. As of press time on Wednesday, searching for "No AI Art" on ArtStation returned 2,099 results, and "no to AI generated images" returned 2,111 results. Each result represents a separate artist account.
By participating in the protest, some artists want to disrupt how Stable Diffusion training works, which led to several jokes on Twitter showing garbled AI-generated image results that some people took seriously. In reality, whatever ArtStation artwork Stable Diffusion currently draws upon was trained into the Stable Diffusion model long ago, and the protest will not have an immediate effect on images generated with AI models currently in use.
The relationship between ArtStation and AI image synthesis dates back to the beta test of Stable Diffusion on its Discord server during the summer of 2022. Stable Diffusion is a popular open source image-synthesis model that creates novel images from text descriptions called prompts.
Like "Greg Rutkowski," the prompt text "trending on ArtStation" became an easy way to get high-quality results from almost any prompt, and the idea spread quickly among users of Stable Diffusion until it became something of a trope in the image-synthesis community.
His distinctive style is now one of the most commonly used prompts in the new open-source AI art generator Stable Diffusion, which was launched late last month. The tool, along with other popular image-generation AI models, allows anyone to create impressive images based on text prompts.
But these open-source programs are built by scraping images from the internet, often without permission and proper attribution to artists. As a result, they are raising tricky questions about ethics and copyright. And artists like Rutkowski have had enough.
First, his fantastical and ethereal style looks very cool. He is also prolific, and many of his illustrations are available online in high enough quality, so there are plenty of examples to choose from. An early text-to-image generator called Disco Diffusion offered Rutkowski as an example prompt.
The total number of prints listed under each limited edition artwork represents the total number of collectors' prints being produced commercially for that artwork. No more pieces will be produced for sale once all prints have been sold out. The Artist reserves the right to produce up to two Artist Proofs for each work in addition to the editions quoted. Artworks sold collectively, such as within a book, are excluded from this clause.
All artworks are produced and shipped from New York. Prices are stated in U.S. dollars and do not include any sales, use, value added (\"VAT\"), goods and services (\"GST\") or similar taxes or withholding taxes or any customs, duties or tariffs that may be assessed by any governmental tax authority or that are otherwise payable under applicable law with respect to the purchase, sale and licensing transactions contemplated hereunder (collectively, \"Taxes\"). The Buyer is responsible for any tax or import duties applicable to their purchase.
One of the first significant AI art systems is AARON, developed by Harold Cohen beginning in the late 1960s at the University of California at San Diego.[9] AARON is the most notable example of AI art in the era of GOFAI programming because of its use of a symbolic rule-based approach to generate technical images.[10] Cohen developed AARON with the goal of being able to code the act of drawing. In its primitive form, AARON created simple black and white drawings. Cohen would later finish the drawings by painting them. Throughout the years, he also began to develop a way for AARON to also paint. Cohen designed AARON to paint using special brushes and dyes that were chosen by the program itself without mediation from Cohen.[11] AARON was exhibited in 1972 at the Los Angeles County Museum of Art.[12]
Several companies have released apps that transform photos into art-like images with the style of well-known sets of paintings.[36][37]The website Artbreeder, launched in 2018, uses the models StyleGAN and BigGAN[38][39] to allow users to generate and modify images such as faces, landscapes, and paintings.[40]
Several programs use text-to-image models to generate a variety of images based on various text prompts. They include EleutherAI's VQGAN+CLIP which was released in 2021,[32] OpenAI's DALL-E which released a series of images in January 2021, [41] Google Brain's Imagen and Parti which was announced in May 2022, Microsoft's NUWA-Infinity,[42][30] and Stable Diffusion which was released in August 2022.[43][44] Stability.ai has a Stable Diffusion web interface called DreamStudio.[45] Stable Diffusion is source-available software, enabling further development such as plugins for Krita, Photoshop, Blender, and GIMP,[46] as well as the Automatic1111 web-based open source user interface.[47][48][49] Stable Diffusion's main pre-trained model is shared on the Hugging Face Hub.[50]
There are many other AI art generation programs including simple consumer-facing mobile apps and Jupyter notebooks that require powerful GPUs to run effectively.[51] Additional functionalities include "Textual Inversion" which refers to enabling the use of user-provided concepts (like an object or a style) learned from few images. With textual inversion, novel personalized art can be generated from the associated word(s) (the keywords that have been assigned to the learned, often abstract, concept)[52][53] and model extensions/fine-tuning (see also: DreamBooth).
Prompts for some text-to-image models can also include images and keywords and configurable parameters, such as artistic style, which is often used via keyphrases like "in the style of [name of an artist]" in the prompt[57] and/or selection of a broad aesthetic/art style.[58][55] There are platforms for sharing, trading, searching, forking/refining and/or collaborating on prompts for generating specific imagery from image generators.[59][60][61][62] Prompts are often shared along with images on image-sharing websites such as Reddit and AI art-dedicated websites. A prompt is not the complete input needed for the generation of an image: additional inputs that determine the generated image include the output resolution, random seed, and random sampling parameters.[63]
In 2022, coinciding with the rising availability of consumer-grade AI image generation services, popular discussion renewed over the legality and ethics of AI-generated art. Of particular issue is the use of copyrighted art within AI training datasets: in September 2022, Reema Selhi, of the Design and Artists Copyright Society, stated that "there are no safeguards for artists to be able to identify works in databases that are being used and opt out."[67] Some have claimed that images generated by these models can bear an uncanny resemblance to extant artwork, sometimes including remains of the original artist's signature.[67][68] In December 2022, users of the portfolio platform ArtStation staged an online protest against nonconsensual use of their artwork within datasets: this resulted in opt-out services, such as "Have I Been Trained?," increasing in profile, as well as some online art platforms promising to offer their own opt-out options.[69] According to the US Copyright Office, artificial intelligence programs are unable to hold copyright,[70][71][72] a decision upheld at the Federal District level as of August 2023 followed the reasoning from the monkey selfie copyright dispute.[73]
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