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Found 5 papers, 4 papers with code
Quark: Real-time, High-resolution, and General Neural View Synthesis
Our feed-forward network generalizes across a wide variety of datasets and scenes and produces state-of-the-art quality for a real-time method.
SimpleRecon: 3D Reconstruction Without 3D Convolutions
Traditionally, 3D indoor scene reconstruction from posed images happens in two phases: per-image depth estimation, followed by depth merging and surface reconstruction.
Digging Into Self-Supervised Monocular Depth Estimation
Per-pixel ground-truth depth data is challenging to acquire at scale.
Ranked #2 on
Monocular Depth Estimation
on Make3D
Deep Burst Denoising
One strategy for mitigating noise in a low-light situation is to increase the shutter time of the camera, thus allowing each photosite to integrate more light and decrease noise variance.
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Learning based methods have shown very promising results for the task of depth estimation in single images.
Ranked #4 on
Monocular Depth Estimation
on Mid-Air Dataset
