Monocular Reconstruction
12 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Monocular Reconstruction
Most implemented papers
The Earth ain't Flat: Monocular Reconstruction of Vehicles on Steep and Graded Roads from a Moving Camera
The proposed approach significantly improves the state-of-the-art for monocular object localization on arbitrarily-shaped roads.
Consistent Video Depth Estimation
facebookresearch/consistent_depth
•
•
We present an algorithm for reconstructing dense, geometrically consistent depth for all pixels in a monocular video.
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter
jspenmar/monodepth_benchmark
•
•
It is likely that many papers were not only optimized for particular datasets, but also for errors in the data and evaluation criteria.
Reconstructing Animatable Categories from Videos
Building animatable 3D models is challenging due to the need for 3D scans, laborious registration, and manual rigging, which are difficult to scale to arbitrary categories.
Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting
In the realm of robot-assisted minimally invasive surgery, dynamic scene reconstruction can significantly enhance downstream tasks and improve surgical outcomes.
CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction
iitmcvg/CNN_SLAM
•
•
CVPR 2017
Given the recent advances in depth prediction from Convolutional Neural Networks (CNNs), this paper investigates how predicted depth maps from a deep neural network can be deployed for accurate and dense monocular reconstruction.
SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth Estimation
MichaelRamamonjisoa/SharpNet
•
•
We demonstrate our approach on the challenging NYUv2-Depth dataset, and show that our method outperforms the state-of-the-art along occluding contours, while performing on par with the best recent methods for the rest of the images.
Hyperparameter-Free Losses for Model-Based Monocular Reconstruction
hyperparams-free/hyperparams-free-3D-losses
•
•
This work proposes novel hyperparameter-free losses for single view 3D reconstruction with morphable models (3DMM).
Towards High Fidelity Monocular Face Reconstruction with Rich Reflectance using Self-supervised Learning and Ray Tracing
abdallahdib/abdallahdib.github.io
•
•
ICCV 2021
In this paper, we build our work on the aforementioned approaches and propose a new method that greatly improves reconstruction quality and robustness in general scenes.
Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera
USTC3DV/NDR-code
•
•
We propose Neural-DynamicReconstruction (NDR), a template-free method to recover high-fidelity geometry and motions of a dynamic scene from a monocular RGB-D camera.
