indoor depth estimation works

MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments

• Paper: ​​https://arxiv.org/abs/2107.12429​​
• Code: None

Towards Interpretable Deep Networks for Monocular Depth Estimation

• Paper: ​​https://arxiv.org/abs/2108.05312​​
• Code: ​​https://github.com/youzunzhi/InterpretableMDE​​

Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark

• Paper: ​​https://arxiv.org/abs/2108.03830​​
• Code: ​​https://github.com/w2kun/RNW​​

Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation

• Paper: ​​https://arxiv.org/abs/2108.07628​​
• Code: ​​https://github.com/LINA-lln/ADDS-DepthNet​​

StructDepth: Leveraging the structural regularities for self-supervised indoor depth estimation

• Paper: ​​https://arxiv.org/abs/2108.08574​​
• Code: ​​​​https://github.com/SJTU-ViSYS/StructDepth​​

​P²Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation​

• Paper: ​​​https://arxiv.org/pdf/2007.07696.pdf​​
• Code: ​​​​​https://github.com/svip-lab/Indoor-SfMLearner​​

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