MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Research article (2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025) · cited 20× · AI/ML
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MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

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MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision. Retrieved May 24, 2026, from https://4ort.xyz/entity/moge-unlocking-accurate-monocular-geometry-estimation-for-open-domain-images-with-optimal-training-supervision
MLA “MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/moge-unlocking-accurate-monocular-geometry-estimation-for-open-domain-images-with-optimal-training-supervision.
BibTeX @misc{4ortxyz_moge-unlocking-accurate-monocular-geometry-estimation-for-open-domain-images-with-optimal-training-supervision_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision}}, year = {2026}, url = {https://4ort.xyz/entity/moge-unlocking-accurate-monocular-geometry-estimation-for-open-domain-images-with-optimal-training-supervision}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision — https://4ort.xyz/entity/moge-unlocking-accurate-monocular-geometry-estimation-for-open-domain-images-with-optimal-training-supervision (retrieved 2026-05-24)

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