Tensor4D

Neural decomposer

Develops efficient neural decomposition methods for high-fidelity dynamic reconstruction and rendering from limited views or monocular data.

This is the official implementation of Tensor4D: Efficient Neural 4D Decomposition for High-fidelity Dynamic Reconstruction and Rendering.

GitHub

199 stars
6 watching
6 forks
Language: Python
last commit: over 1 year ago
Linked from 1 awesome list

3d-reconstruction4dmachine-learningnerfpytorchrendering

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
ryotat/tensor Software for solving tensor decomposition problems through convex optimization 42
andrewliao11/dni.pytorch An implementation of synthetic gradients to decouple neural network layers and enable scalable communication between them 118
palle-k/dl4s A Swift-based library for accelerated tensor operations and dynamic neural networks using reverse mode automatic differentiation. 102
hiroharu-kato/neural_renderer Generates 3D mesh renderings from images using a neural network 1,147
swz30/restormer Proposes an efficient neural architecture model for high-resolution image restoration tasks 1,805
daniilidis-group/neural_renderer A PyTorch implementation of a neural network-based 3D mesh renderer 1,140
matlab-deep-learning/nerf An implementation of neural radiance fields in MATLAB for 3D reconstruction and rendering 10
tensorlayer/dagan Generates MRI images from compressed data using a deep learning model 175
fabianbormann/tensorflow-deconvnet-segmentation An implementation of a deep learning algorithm for image segmentation using convolutional neural networks 220
koz4k/dni-pytorch Decoupled Neural Interfaces using Synthetic Gradients for PyTorch 236
owenzlz/deepimageblending A PyTorch implementation of blending images by optimizing a Poisson loss with style and content loss 431
tdsuper/distortion-aware-cnns Software for processing spherical images with distortion correction 1
preritj/segmentation Deep learning models for semantic segmentation of images 100
reinhardh/supplement_deep_decoder A Python codebase for generating images from few parameters using an untrained non-convolutional deep neural network. 96
intel/neural-compressor Tools and techniques for optimizing large language models on various frameworks and hardware platforms. 2,226