Ree Liu's repositories
awesome-deep-vision
A curated list of deep learning resources for computer vision
bijective-projection-shell
A projection-based bijective map definition and a robust algorithm to construct the prismatic shell domain. https://cs.nyu.edu/~zhongshi/files/BijectivePrism.pdf
CasMVSNet_pl
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching using pytorch-lightning
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
deepLearningBook-Notes
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
defense-sched
论文答辩准备项与流程
dynamic-video-depth
Code for the SIGGRAPH 2021 paper "Consistent Depth of Moving Objects in Video".
FluidNet
Accelerating Eulerian Fluid Simulation With Convolutional Networks
human_body_prior
VPoser: Variational Human Pose Prior
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
pbrt-v3
Source code for pbrt, the renderer described in the third edition of "Physically Based Rendering: From Theory To Implementation", by Matt Pharr, Wenzel Jakob, and Greg Humphreys.
PositionBasedDynamics
PositionBasedDynamics is a library for the physically-based simulation of rigid bodies, deformable solids and fluids.
qbsolv
Qbsolv,a decomposing solver, finds a minimum value of a large quadratic unconstrained binary optimization (QUBO) problem by splitting it into pieces solved either via a D-Wave system or a classical tabu solver. (Note that qbsolv by default uses its internal classical solver. Access to a D-Wave system must be arranged separately.)
RTXAdvect
Particle tracking code accelerated by GPU RTX cores
stylegan-encoder
StyleGAN Encoder applied to facial-details
stylegan2
StyleGAN2 - Official TensorFlow Implementation
tetMeshQueries
Library that demonstrates how to do GPU-accelerated tet-mesh cell location queries using OWL
tiny-cuda-nn
Lightning fast C++/CUDA neural network framework
winter-camp
code for ml-winter-camp.