a method for transferring the style from a set of images to a 3D object. The texture appearance of an asset is optimized with a differentiable renderer in a pipeline based on losses using pretrained deep neural networks. More specifically, we utilize a nearest-neighbor feature matching loss with CLIP-ResNet50 to extract the style from images. We show that a CLIP-based style loss provides a different appearance over a VGG-based loss by focusing more on texture over geometric shapes. Additionally, we extend the loss to support multiple images and enable loss-based control over the color palette combined with automatic color palette extraction from style images.
Category: 3D
Blockadelabs
Turn your words into stunning 360° skybox images with Skybox Lab!
Blimeycreate
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Blackshark.ai
Geospatial platform that extracts insights about the planet’s infrastructure from current satellite and aerial imagery via machine learning at global scale. Missing attributes are enriched by AI to provide a photorealistic, geo-typical, or asset specific digital twin.
BasicAI Cloud
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Alpha3D
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AI Render – Stable Diffusion in Blender
This add-on renders an AI generated image based on a text prompt and your scene.
3DAiLY
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