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Zhao Fuqiang's Projects

directvoxgo icon directvoxgo

DirectVoxGO reconstructs a scene representation from a set of calibrated images capturing the scene. We achieve NeRF-comparable novel-view synthesis quality with super-fast convergence.

gauzilla icon gauzilla

Gauzilla: a 3D Gaussian Splatting renderer written in Rust for WebAssembly with lock-free multithreading

humannerf icon humannerf

HumanNeRF: Efficiently Generated Human Radiance Field from Sparse Inputs(Published in CVPR2022)

ignite icon ignite

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

imagedream icon imagedream

The code releasing for https://image-dream.github.io/

immersive-ngp icon immersive-ngp

We present the first open-source VR NERF Unity package that brings high resolution, low-latency, 6-DOF NERF rendering to VR. This work is based on Nvidia's ground breaking instant-ngp technique.

instant-ngp icon instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

instant-nsr icon instant-nsr

Pytorch implementation of fast surface resconstructor

multinerf icon multinerf

A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF

mvsnerf icon mvsnerf

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

nerf-pytorch icon nerf-pytorch

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

nerfcapture icon nerfcapture

An iOS app that collects/streams posed images for NeRFs using ARKit

nsvf icon nsvf

Open source code for the paper of Neural Sparse Voxel Fields.

openmvs icon openmvs

open Multi-View Stereo reconstruction library

sdfstudio icon sdfstudio

A Unified Framework for Surface Reconstruction

stable-dreamfusion icon stable-dreamfusion

A working implementation of text-to-3D dreamfusion, powered by stable diffusion.

svox2 icon svox2

Plenoxels: Radiance Fields without Neural Networks, Code release WIP

vid2vid icon vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

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