Cinematic Vision
spatial resolution
003
film
video games
animation
design
Challenge
The primary challenge we faced was visualizing and developing high-resolution, highly detailed objects, both mechanical (inorganic) and organic (humans, animals, or nature elements). Traditional rendering methods and typical AI-generated images often result in high resolution but quickly lose critical details, leading to inconsistencies and a lack of clarity in intricate parts. Our goal was to explore the limits of how much detail could be achieved by pushing the boundaries of latent space and leveraging its advantages. We needed specialized approaches that not only upscaled the images but also ensured clear, consistent, and precise representation of every component, capturing the intricate design and functionality of both synthetic and organic structures.
Approach
To tackle this challenge, developed two distinct approaches under the umbrella of Spatial Resolution:
Synthetic Spatial Resolution™ (SSR):
Designed specifically for mechanical and inorganic objects, SSR leverages advanced AI and machine learning algorithms to manipulate latent space, enhancing image quality and preserving minute details that are often lost in conventional rendering processes. By focusing on the precise spatial relationships and intricate structures within these objects, SSR provides an unparalleled level of detail and realism.
Organic Spatial Resolution™ (OSR):
Tailored for organic subjects, OSR uses a different set of AI techniques to ensure that the natural variability and complexity of living organisms are captured with high fidelity. This approach emphasizes the preservation of textures, subtle variations, and the organic flow of forms to produce lifelike and consistent images.
Solution
Implementing these approaches, we achieved remarkable results for both mechanical and organic objects. With SSR, mechanical components—whether simple electronic parts or complex machinery—were rendered with stunning detail and clarity. Every tiny screw, wire, and gear was showcased with precision, setting a new standard for visualizing synthetic objects.
Meanwhile, OSR allowed us to render organic subjects with an equally impressive level of detail. The natural textures and intricate variations of human faces, animal fur, and natural landscapes were preserved, resulting in lifelike and consistent images that captured the essence of organic forms.
Tailored for organic subjects, OSR uses a different set of methodologies to ensure that the natural variability and complexity of living organisms are captured with high fidelity.
The spatial resolution images provided are highly detailed. If you're viewing them on a mobile device, you can zoom in to see the finer details. For the best experience, we recommend opening these images in a new tab on a larger device to fully appreciate the resolution.
Designed specifically for mechanical and inorganic objects, SSR leverages advanced AI and machine learning algorithms to manipulate latent space, enhancing image quality and preserving details that are often lost in conventional rendering processes