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Found 5 papers, 3 papers with code
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer
In particular, we propose a robust training objective that is invariant to changes in depth range and scale, advocate the use of principled multi-objective learning to combine data from different sources, and highlight the importance of pretraining encoders on auxiliary tasks.
Ranked #2 on
Depth Estimation
on eBDtheque
Variational 3D-PIV with Sparse Descriptors
We propose a new method for iterative particle reconstruction (IPR), in which the locations and intensities of all particles are inferred in one joint energy minimization.
3D Fluid Flow Estimation with Integrated Particle Reconstruction
We show, for the first time, how to jointly reconstruct both the individual tracer particles and a dense 3D fluid motion field from the image data, using an integrated energy minimization.
Volumetric Flow Estimation for Incompressible Fluids Using the Stationary Stokes Equations
Here, we propose a variational method for 3D fluid flow estimation from multi-view data.
Massively Parallel Multiview Stereopsis by Surface Normal Diffusion
We present a new, massively parallel method for high-quality multiview matching.
Ranked #22 on
3D Reconstruction
on DTU
