Row 65587

Row ID: 65587 | Dataset Entry | Axioma AXP Content Repository

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Hey, I'm capturing a disparity depth map using the iPhones camera and wondered how ML could be used to improve the fidelity of the depth map. I was imagining you could use the data from the photograph combined with the depth map to work out finer details. I know there existing approaches like "midas" which can create a depth map from a 2D photograph, but is there anything out there for enhancing an existing low resolution depth map?

FieldValue
text Hey, I'm capturing a disparity depth map using the iPhones camera and wondered how ML could be used to improve the fidelity of the depth map. I was imagining you could use the data from the photograph combined with the depth map to work out finer details. I know there existing approaches like "midas" which can create a depth map from a 2D photograph, but is there anything out there for enhancing an existing low resolution depth map?
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-23
username_encoded Z0FBQUFBQm5Lak1jOGE4TF9jRjVUVjFJR0pvQlAtNy01aWdEUEJ4Vy15VU5tWGV3U3ROczM2YU9GZlEyaUlOWGZXVWpGWmtpZEJLOGpLS0pCYUoxdndVZEQ0aWlaTTVXaFE9PQ==
url_encoded Z0FBQUFBQm5Lak9zUDdEX2NkanRQaVhtWWxCZ0tvU3NjUmZiSnNwSnZtMFYwa3djMjZ4c2ZvMDJXRTZZeWkzMzV4SGhnNmZoTVlqSGVWMDV2NnFESkROSkFsb0pKOGJzamNtVHdsM3dEd1JxVVQ0RGlOSVZES0JORjQ2dko1ZjlHMmJLX2w5SW5ybm9KM0JRckU2Qm45Ymh6SlplT3JXWmJYQlBkMFJqcUdxWEU5MnFJNDhJSXc5SV9zd2wxMGtpUGtBeUh3YU9PNGZp

Raw Record

{
  "text": "Hey, I'm capturing a disparity depth map using the iPhones camera and wondered how ML could be used to improve the fidelity of the depth map. I was imagining you could use the data from the photograph combined with the depth map to work out finer details. I know there existing approaches like \"midas\" which can create a depth map from a 2D photograph, but is there anything out there for enhancing an existing low resolution depth map?",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-23",
  "username_encoded": "Z0FBQUFBQm5Lak1jOGE4TF9jRjVUVjFJR0pvQlAtNy01aWdEUEJ4Vy15VU5tWGV3U3ROczM2YU9GZlEyaUlOWGZXVWpGWmtpZEJLOGpLS0pCYUoxdndVZEQ0aWlaTTVXaFE9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9zUDdEX2NkanRQaVhtWWxCZ0tvU3NjUmZiSnNwSnZtMFYwa3djMjZ4c2ZvMDJXRTZZeWkzMzV4SGhnNmZoTVlqSGVWMDV2NnFESkROSkFsb0pKOGJzamNtVHdsM3dEd1JxVVQ0RGlOSVZES0JORjQ2dko1ZjlHMmJLX2w5SW5ybm9KM0JRckU2Qm45Ymh6SlplT3JXWmJYQlBkMFJqcUdxWEU5MnFJNDhJSXc5SV9zd2wxMGtpUGtBeUh3YU9PNGZp"
}
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