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StereoSpace: Depth-Free Synthesis of Stereo Geometry via End-to-End Diffusion in a Canonical Space
Paper • 2512.10959 • Published • 12 -
prs-eth/stereospace-v1-0
Image-to-Image • Updated • 8 -
StereoSpace Project Page
🪟20Create stereo images from single images
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StereoSpace
📈48Generate stereo views from a single image
AI & ML interests
None defined yet.
Recent Activity
Papers
StereoSpace: Depth-Free Synthesis of Stereo Geometry via End-to-End Diffusion in a Canonical Space
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control
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Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis
Paper • 2505.09358 • Published • 27 -
Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Paper • 2312.02145 • Published • 7 -
Marigold Depth Estimation
🏵478Estimate depth from images and visualize results in real time
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Marigold Normals Estimation
🏵22Generate surface normals from images
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StereoSpace: Depth-Free Synthesis of Stereo Geometry via End-to-End Diffusion in a Canonical Space
Paper • 2512.10959 • Published • 12 -
prs-eth/stereospace-v1-0
Image-to-Image • Updated • 8 -
StereoSpace Project Page
🪟20Create stereo images from single images
-
StereoSpace
📈48Generate stereo views from a single image
-
Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis
Paper • 2505.09358 • Published • 27 -
Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Paper • 2312.02145 • Published • 7 -
Marigold Depth Estimation
🏵478Estimate depth from images and visualize results in real time
-
Marigold Normals Estimation
🏵22Generate surface normals from images
spaces
11
StereoSpace Project Page
Create stereo images from single images
Marigold Depth Completion
Generate detailed depth maps from sparse depth data
Marigold Depth Estimation
Estimate depth from images and visualize results in real time
Marigold Normals Estimation
Generate surface normals from images
Marigold Intrinsic Image Decomposition
Decompose images into intrinsic components
RollingDepth
Video Depth without Video Models