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calibrated-backprojection-network

PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)

manual_in_cvlab

mvsnerf

[ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis.

nafnet

The state-of-the-art image restoration model without nonlinear activation functions.

nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

nerfingmvs

[ICCV 2021 Oral] NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo

neural-scene-flow-fields

PyTorch implementation of paper "Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes"

neuray

[CVPR2022] Neural Rays for Occlusion-aware Image-based Rendering

optimal_histogram

Implement "Optimal Histograms with Quality Guarantees", VLDB 1998

pixel-nerf

PixelNeRF Official Repository

pixelsplat

Code for "pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction" by David Charatan, Sizhe Li, Andrea Tagliasacchi, and Vincent Sitzmann.

pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

pointrcnn

The PyTorch Implementation of PointRCNN for 3D Object Detection from Raw Point Cloud, CVPR 2019.

pu-net

PU-Net: Point Cloud Upsampling Network, CVPR, 2018 (https://arxiv.org/abs/1801.06761)

tensorflow

Computation using data flow graphs for scalable machine learning