Monocular Depth Estimation Collection

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🔮Psychic

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“[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation”

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🔮Psychic

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“[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation”

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🔮Psychic

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“Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"”

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🔮Psychic

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“[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation”

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📦Normal

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“Metric depth estimation from a single image”

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🔮Psychic

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“[CVPR'25 Oral] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision”

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🔮Psychic

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“The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."”

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🔮Psychic

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“[CVPR 2025 Highlight] Video Depth Anything: Consistent Depth Estimation for Super-Long Videos”

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🔮Psychic

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“🌊 Images to parallax effect videos”

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🔮Psychic

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“Official implementation of Adabins: Depth Estimation using adaptive bins”

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🔮Psychic

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“[CVPR 2025] RollingDepth: Video Depth without Video Models”

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🔮Psychic

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“[WACV'25 Oral] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think”

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🔮Psychic

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“C++ TensorRT implementation of Depth-Anything V1, V2”

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🔥Fire

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“ROS2 TensorRT Node for Monocular Metric Depth estimation and Point Cloud generation from camera images with Depth Anything V3”

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🔮Psychic

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“Monocular Depth Prediction”

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🔮Psychic

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“ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data”

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🔮Psychic

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“[ECCV 2020] Learning stereo from single images using monocular depth estimation networks”

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🔮Psychic

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“[CVPR 2025] Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera”