30 open-source projects similar to icvteam/e2nerf, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best E2NeRF alternative.
Byeonghyeon Lee, Howoong Lee, Usman Ali, and Eunbyung Park
Official PyTorch implementation of the CVPR 2021 paper "Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors". Please cite our paper and the original Occupancy Networks (Mescheder et al.) if you use this work.
Official implementation of Paper "Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model" (ECCV 2024)
Single/multi view image(s) to voxel reconstruction using a recurrent neural network
TOG 2021 Official PyTorch Implementation for "Recurrent Video Deblurring with Blur-Invariant Motion Estimation and Pixel Volumes"
The repository is an official implementation of our CVPR2020 paper : Cascaded Deep Video Deblurring Using Temporal Sharpness Prior
This is the PyTorch implementation of the ICCV 2021 paper Sketch2Mesh. We provide pre-trained networks and code for demonstrating our global differentiable refinement procedure of 3D shapes from 2D sketches.
This repository is the official implementation of UCLID-Net: Single View Reconstruction in Object Space (NeurIPS 2020).
Yixin Chen , Junfeng Ni , Nan Jiang , Yaowei Zhang , Yixin Zhu , Siyuan Huang
This is the reference implementation of "Learning Generative Models of Textured 3D Meshes from Real-World Images", accepted at ICCV 2021.
CVPR 2023 - Official DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priors
Srinath Sridhar 1 , Davis Rempe 1 , Julien Valentin 2 , Sofien Bouaziz 2 , Leonidas J. Guibas 1,3 1 Stanford University , 2 Google Inc. , 3 Facebook AI Research
This is the source code of Self-Supervised 3D Mesh Reconstruction From Single Images (CVPR-2021).
Neural Template: Topology-aware Reconstruction and Disentangled Generation of 3D Meshes (CVPR 2022)
Training scripts and a couple of trained demo networks are included. More demos and the complete set of data are on the road.
Pytorch Implementation of https://arxiv.org/abs/1812.01742
This is not an officially supported Google product.
OctNet uses efficient space partitioning structures (i.e. octrees) to reduce memory and compute requirements of 3D convolutional neural networks, thereby enabling deep learning at high resolutions.
This repository is the implementation of our AAAI 2019 paper:
Implementation of "Blur-aware Spatio-temporal Sparse Transformer for Video Deblurring". (Zhang et al., CVPR 2024)
Implementation of "Spatio-Temporal Deformable Attention Network for Video Deblurring". (Zhang et al., ECCV 2022)
This repository contains the source code for the paper Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images. The follow-up work Pix2Vox++: Multi-scale Context-aware 3D Object Reconstruction from Single and Multiple Images has been published in International Journal of…
Here you'll find the codes for the paper Image2Mesh: A Learning Framework for Single Image 3D Reconstruction.
NeurIPS 2024 The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.