
The author presents ViewDiff, a method that leverages pretrained text-to-image models to generate high-quality, multi-view consistent images of real-world 3D objects. By integrating novel layers into the U-Net architecture, the approach produces diverse and realistic renderings.


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ViewDiff-3D-Consistent-Image-Generation-with-Text-to-Image-Models


ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models


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Pretrained text-to-image models can be leveraged to generate high-quality, multi-view consistent images of real-world 3D objects.
