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Stanford University
- Stanford, CA, US
- https://zhsun0357.github.io/
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"Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.
This project is the official implementation of 'Meta-Learning based Degradation Representation for Blind Super-Resolution', TIP2023
[CVPR 2023] DynamicStereo: Consistent Dynamic Depth from Stereo Videos.
DVSR ("Consistent Direct Time-of-Flight Video Depth Super-Resolution"), CVPR 2023
CUDA implementation of "Energy-Efficient Adaptive 3D Sensing" (CVPR 2023)
Base repository for simulation and control of photonic devices
Code and data release for the ECCV 2022 manuscript "Seeing Far in the Dark with Patterned Flash"
Scripts for the paper "Phase controlled resonance scanner", simulation and experiments
Python code for the fast bilateral solver
SPADnet: Deep RGB-SPAD Sensor Fusion Assisted by Monocular Depth Estimation
Official Pytorch implementation of Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
Custom pytorch modules with sane default parameters useful for model prototyping. (U-Net, upsampling, downsampling...)