In the ever-evolving world of architectural visualization, few names carry the education weight of Ciro Sannino. As an author, certified instructor, and Chaos Academic Partner, Ciro has spent over two decades training thousands of 3D artists to look at the frame not just through the lens of render settings, but through the eyes of a photographer.
As production pipelines readily embrace a hybrid future, balancing the precision of V-Ray and Corona with the rapid ideation of AI tools like Veras, Ciro’s core philosophy is more relevant than ever: technology changes, but the behavior of light remains absolute.
Here, Ciro breaks down his journey from the early days of global illumination to building a modern, AI-integrated visualization workflow (and his latest course that teaches just that!).
From Scanline artifacts to the dawn of photorealistic V-Ray
The journey toward modern photorealism began in an era of strict technical limitations. Achieving believable light distribution required battling complex software interfaces long before the advent of intuitive, real-time feedback loops.
“Twenty-four years ago, when I first saw some photorealistic images produced with V-Ray. It was a revelation! I had already created renders, but that was in 1996-1997. At the time I was using Scanline, and the images had a completely fake look (see top image below). But with the arrival of V-Ray in 2002, everything changed: the images surprisingly started looking like real photographs! Even though they were not as rich in detail as today's renders, they already had that "real light" that I fell in love with at first sight (see bottom image below).”
Top: An image made with Scanline. Bottom: an early V-Ray render
In the early 2000s, the lack of structured learning platforms meant that mastering these tools required quite rigorous personal experimentation—and a high tolerance for trial and error.
“Emerging photorealism was incredibly fascinating, but also very complex to learn. In addition, there were no structured paths, platforms, or organized courses. You learned by experimenting, trying, making mistakes, and reading forums. Every day, you struggled with irradiance map settings, min and max rate, and subdivisions everywhere. Anyone who experienced that period knows exactly what I am talking about! Then every user seemed to have their own theory for controlling the software, which at the time was exclusively V-Ray.”
“So, to find my way through this sea of information, I started writing my blogs: Grafica 3D Blog in Italian and CG Blog in English. After seven or eight years, I had written hundreds of articles and tutorials. It was a way to help myself consolidate ideas and techniques while sharing them with all subscribers.”
Screenshots of Ciro’s blogs, 3D Blog and CG Blog, which helped demystify early rendering setups for thousands of global users.
“But one thing was clear to me from the very beginning: if the goal is photorealistic rendering, then everything had to revolve around photography. Of course, today this may seem like an obvious concept, but I can assure you that at the time it was not obvious at all. In those years, the software was complex and full of parameters, and this led many users toward a purely technical approach. For me, however, photography has always been the compass of this adventure, including in my teaching style.”
→ Read more: Focusing on the art: How Metrica Visuals used Corona to capture the photographic serenity of Casa Siera
Cultivating a photographic mindset: the 5SRW method
For artists entering the industry today, success relies on separating software mechanics from artistic intent. To bridge this gap, rendering must be approached as a structured, repeatable production process rather than a random sequence of clicks.
“To succeed, you need two things: a method and a deep understanding of light. From the very beginning, I gave photography a central role. When we talk about photorealistic rendering, we are not only talking about a technically correct image, but about an image that must visually behave like a photograph, with credible light, functional shadows, and an effective composition. In short, it is not only about parameters. There is much more to it, and understanding this makes all the difference because it helps you direct your efforts in the right direction.”
By drawing parallels between architectural visualization and real-world studio photography, artists can systematically deconstruct a scene. This structural philosophy eventually evolved into a formalized training framework.
“Also, during those years I graduated in ‘Process Design,’ and for one exam I carried out a study entitled ‘Designing a Render,’ with the goal of connecting rendering to a structured and repeatable process.”
“Having a method is the second aspect I consider relevant. From this research came my 5SRW (5-Step Render Workflow) method, designed precisely to unite two dimensions that are often kept separate: the technical side of the software and the artistic side of photography. With this method, I have trained hundreds of people, written books, and taken part in many conferences around the world.”
Ciro Sannino sharing workflow methodologies with the international archviz community at the 3b conferences.
“Even today, my mission is to convey the idea that what matters is not so much executing a sequence of commands, but understanding why each choice must be made according to a photographic logic. With this photographic approach, Corona, V-Ray, and the other tools become only expressive means, not a giant monster full of secret parameters. And as you can easily imagine, this vision applies exactly the same way to AI.”
Sculpting with light instead of chasing software parameters
A common pitfall in modern workflows is focusing heavily on secondary details, such as advanced material maps or complex render presets, before mastering the primary source of volume and contrast: illumination.
“There is often a lack of awareness that light must first be used to ‘sculpt’ images, because light is not "a parameter", but a concept that 'envelopes' the entire scene.”
“Many students immediately focus on materials, settings, presets, and parameters, but they neglect light. When the lighting does not work, it is often difficult to understand why, because the errors spread in a cascade: the composition becomes weak, the materials lose credibility, and users end up wasting time and energy looking for the solution in technical aspects, when in reality the problem lies upstream.”
When diagnosing a render that feels unconvincing, the root cause is rarely a technical bug. Instead, it is almost always an issue of light behavior and directionality.
“Of course, materials and various settings have their own degree of complexity, but light has this strange difficulty of sometimes being elusive. For this reason, I have a rule that I always apply:
"When an error is visible and specific, there will always be some parameter that solves it. When, instead, you feel that something is wrong but you cannot clearly understand what it is, then it probably depends on incorrect lighting."
“To give you an immediate example, notice how changing the direction of the light in the image below also changes the final rendering of shadows and materials. Everything is connected to light!”
One scene, two different lighting setups: Light changes everything.
The hybrid pipeline: integrating Chaos Veras and AI into production workflows
The emergence of AI tools does not threaten the role of the 3D artist; instead, it expands the boundaries of creative exploration. Incorporating AI into a traditional V-Ray or Corona pipeline accelerates the ideation and compositing phases significantly.
“It is now a well-established idea that AI does not replace rendering, but expands it, allowing us to create outputs that were previously too complex or even unthinkable. It is an extremely useful tool for accelerating the creative process, exploring variations, improving details, and expanding expressive possibilities. For this reason, I have already started AI-Live courses (currently available for Italian audiences only), where I explain how to integrate AI elements into the 'classic' workflow.”
a) Perfect insertion of people b) Surface changes c) Credible animations d) Render creation in Sketch-to-Render mode, also using Chaos Veras
Ultimately, control over these new technologies relies on the same artistic foundational skills that have driven the archviz industry for decades.
“I do not believe that the future of Archviz will be a choice between rendering and AI, but a combination of both. And, as mentioned at the beginning, those who truly understand light, composition, materials, and photorealism will be able to use AI with greater control and awareness, gaining the greatest benefit from it.”
“Even today, as 20 years ago, the point is not the technology itself, but the awareness of the artist. It is the artist who retains the ability not simply to generate an image, but above all to imagine it and guide it toward its realization.”
Connect with Ciro
Want to learn more about balancing photographic realism with modern AI rendering pipelines? Explore Ciro Sannino’s latest training content over on YouTube, read his posts on CGconnect, follow his daily project breakdowns on Instagram, or join his comprehensive, continuously updated guide to photorealistic spaces at Realistic Interiors.
