Stars
experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
[ICCVW2021] An Straight Dilated Network with Wavelet for image Deblurring
Wavelet Convolutions for Large Receptive Fields. ECCV 2024.
Understand Human Behavior to Align True Needs
Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.
Code for a robust neural architecture IE-Skips “Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability (ICML 2020)”
Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering
Hackable and optimized Transformers building blocks, supporting a composable construction.
The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
A PyTorch implementation of text-to-3D models, e.g., DreamFusion and Magic3D, based on NerfAcc
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
3d printing directly through the Raspberry Pi's GPIO pins
A collaboration friendly studio for NeRFs
Official implementation of "Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation"
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
[AAAI'2024] IT3D: Improved Text-to-3D Generation with Explicit View Synthesis
code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"
Exploration on introducing discrete codex and raw wave decoding to realize Brain-to-Text translation.
[Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf
This repository provides the Python code to reproduce the ISCA Interspeech 2023 paper entitled "BASEN: Time-Domain Brain-Assisted Speech Enhancement Network with Convolutional Cross Attention in Mu…