Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis
			Paper
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			2505.09358
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			Published
				
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				26
			
All things Marigold
Note Journal extension of our CVPR 2024 paper, featuring new tasks, improved efficiency, high-resolution capabilities, and enhanced accessibility.
Note This CVPR 2024 paper introduces a principled approach to repurposing large pretrained latent denoising diffusion image generators for downstream tasks, such as monocular depth estimation.
Generate depth maps from images
Generate surface normals from images
Decompose images into intrinsic components
Generate detailed depth maps from sparse depth data
Create 3D models from depth maps
 
				 
				 
				 
				 
				 
				 
				 
				 
				Estimate depth from images for 3D modeling