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Kewen Wu's Projects

assignment3 icon assignment3

Volume Rendering, Neural Radiance Fields, Neural Surfaces

assignment4 icon assignment4

3D Gaussian Splatting and Diffusion Guided Optimization

diffpir icon diffpir

"Denoising Diffusion Models for Plug-and-Play Image Restoration", Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool.

diffusers icon diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

diffusiondpo icon diffusiondpo

Code for "Diffusion Model Alignment Using Direct Preference Optimization"

dreamerv3-pytorch icon dreamerv3-pytorch

Implementation of Dreamer v3, Deepmind's first neural network that was able to learn to collect diamonds in Minecraft, in Pytorch

dsr-rl icon dsr-rl

[CoRL 2020] Learning 3D Dynamic Scene Representations for Robot Manipulation

k101w.github.io icon k101w.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

kair icon kair

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

lfid icon lfid

On the Learning Mechanisms in Physical Reasoning, NeurIPS 2022.

mdt icon mdt

Masked Diffusion Transformer is the SOTA for image synthesis. (ICCV 2023)

phyre_ode icon phyre_ode

PHYRE is a benchmark for physical reasoning.

predrnn-pytorch icon predrnn-pytorch

Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

restormer icon restormer

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

swinir icon swinir

SwinIR: Image Restoration Using Swin Transformer (official repository)

torchdiffeq_mr icon torchdiffeq_mr

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

world-models icon world-models

Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch

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