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While for stereo images local correspondence suffices for\nestimation, finding depth relations from a single image is less\nstraightforward, requiring integration of both global and local information\nfrom various cues. Moreover, the task is inherently ambiguous, with a large\nsource of uncertainty coming from the overall scale. In this paper, we present\na new method that addresses this task by employing two deep network stacks: one\nthat makes a coarse global prediction based on the entire image, and another\nthat refines this prediction locally. We also apply a scale-invariant error to\nhelp measure depth relations rather than scale. By leveraging the raw datasets\nas large sources of training data, our method achieves state-of-the-art results\non both NYU Depth and KITTI, and matches detailed depth boundaries without the\nneed for superpixelation.","url_abs":"http://arxiv.org/abs/1406.2283v1","url_pdf":"http://arxiv.org/pdf/1406.2283v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"depth-map-prediction-from-a-single-image","repo_url":"https://github.com/MasazI/cnn_depth_tensorflow","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"depth-map-prediction-from-a-single-image","repo_url":"https://github.com/SeokjuLee/Insta-DM","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"depth-map-prediction-from-a-single-image","repo_url":"https://github.com/Tom-Zheng/depth_single_image","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"depth-map-prediction-from-a-single-image","repo_url":"https://github.com/dsshim0125/dacl","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"depth-map-prediction-from-a-single-image","repo_url":"https://github.com/kieran514/dyna-dm","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"depth-map-prediction-from-a-single-image","repo_url":"https://github.com/sejong-rcv/2021.Paper.TransDSSL","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"depth-map-prediction-from-a-single-image","repo_url":"https://github.com/shuuchen/depth_eigen","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"depth-map-prediction-from-a-single-image","repo_url":"https://github.com/zhengtr/CS231N-Final-Project","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"depth-map-prediction-from-a-single-image","repo_url":"https://github.com/imran3180/depth-map-prediction","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"depth-map-prediction-from-a-single-image","repo_url":"https://github.com/mindspore-ai/models/tree/master/official/cv/depthnet","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null}],"tasks":[{"task_slug":"3d-geometry","task_name":"3D geometry"},{"task_slug":"monocular-depth-estimation","task_name":"Monocular Depth Estimation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1406.2283","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1406.2283"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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