Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

Research article (2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024) · cited 282× · AI/ML
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Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

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Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation. Retrieved May 24, 2026, from https://4ort.xyz/entity/repurposing-diffusion-based-image-generators-for-monocular-depth-estimation
MLA “Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/repurposing-diffusion-based-image-generators-for-monocular-depth-estimation.
BibTeX @misc{4ortxyz_repurposing-diffusion-based-image-generators-for-monocular-depth-estimation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation}}, year = {2026}, url = {https://4ort.xyz/entity/repurposing-diffusion-based-image-generators-for-monocular-depth-estimation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation — https://4ort.xyz/entity/repurposing-diffusion-based-image-generators-for-monocular-depth-estimation (retrieved 2026-05-24)

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