MingSun-Tse

ASSL

[NeurIPS'21 Spotlight] Aligned Structured Sparsity Learning for Efficient Image Super-Resolution (PyTorch)

Awesome-Efficient-ViT

Recent Advances on Efficient Vision Transformers

Awesome-Pruning-at-Initialization

[IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.

Collaborative-Distillation

[CVPR'20] Collaborative Distillation for Ultra-Resolution Universal Style Transfer (PyTorch)

Efficient-Deep-Learning

Collection of recent methods on (deep) neural network compression and acceleration.

Good-DA-in-KD

[NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective

Regularization-Pruning

[ICLR'21] Neural Pruning via Growing Regularization (PyTorch)

smilelogging

Python logging package for easy reproducible experimenting in research

Why-the-State-of-Pruning-so-Confusing

[Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning

R2L

[ECCV 2022] R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis

MingSun-Tse/Efficient-Deep-Learning

Collection of recent methods on (deep) neural network compression and acceleration.

MingSun-Tse/Collaborative-Distillation

[CVPR'20] Collaborative Distillation for Ultra-Resolution Universal Style Transfer (PyTorch)

MingSun-Tse/Regularization-Pruning

[ICLR'21] Neural Pruning via Growing Regularization (PyTorch)

MingSun-Tse/ASSL

[NeurIPS'21 Spotlight] Aligned Structured Sparsity Learning for Efficient Image Super-Resolution (PyTorch)

MingSun-Tse/Awesome-Pruning-at-Initialization

[IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.

MingSun-Tse/Awesome-Efficient-ViT

Recent Advances on Efficient Vision Transformers

MingSun-Tse/Why-the-State-of-Pruning-so-Confusing

[Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning

MingSun-Tse/smilelogging

Python logging package for easy reproducible experimenting in research

MingSun-Tse/Good-DA-in-KD

[NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective

MingSun-Tse/TPP

[ICLR'23] Trainability Preserving Neural Pruning (PyTorch)

MingSun-Tse/Smile-Pruning

A generic code base for neural network pruning, especially for pruning at initialization.

MingSun-Tse/SRP

[ICLR'22] PyTorch code for our paper "Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning"

MingSun-Tse/LightAvatar-TensorFlow

TensorFlow code for our ECCV'24 Workshop paper "LightAvatar: Efficient Head Avatar as Dynamic NeLF"

MingSun-Tse/WritingTips

"Good scientific writing is not a matter of life and death; it is much more serious than that."

MingSun-Tse/Efficient-NeRF

MingSun-Tse/UtilsHub

MingSun-Tse/Context-Cluster

[ICLR 2023 Oral] Image as Set of Points

MingSun-Tse/3D-Vision-Papers

MingSun-Tse/awesome-NeRF

A curated list of awesome neural radiance fields papers

MingSun-Tse/deit_dlth

MingSun-Tse/DLTH

MingSun-Tse/Efficient_Graph_Similarity_Computation

MingSun-Tse/Interpretable-Deep-Learning

MingSun-Tse/MingSun-Tse

MingSun-Tse/mingsun-tse.github.io

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

MingSun-Tse/MMVID

[CVPR 2022] Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning

MingSun-Tse/nerf-pytorch

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

MingSun-Tse/pointMLP-pytorch

(ICLR 2022 poster) Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"

MingSun-Tse/R2L

MingSun-Tse/Research-Utilities