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The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.

Open-Sora: Democratizing Efficient Video Production for All

Agent framework and applications built upon Qwen2, featuring Function Calling, Code Interpreter, RAG, and Chrome extension.

All-Age-Faces (AAF) Database.

Your own personal voice assistant: Voice to Text to LLM to Speech, displayed in a web interface

Next generation face swapper and enhancer

[ASRU 2021] Efficient Conformer: Progressive Downsampling and Grouped Attention for Automatic Speech Recognition

Implementation of the convolutional module from the Conformer paper, for use in Transformers

The score code of FastBERT (ACL2020)

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

ADAS高级辅助驾驶的一些项目源码，包括LDW车道偏离预警、前车起步提醒等

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

Controlling 3D plots with an IMU

🟥 The module that allows observing orientations through a 3D object from Euler angles or quaternion transmitted with WebSocket via wi-fi or serial port.

example of homography camera displacement

Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification (TPAMI 2022)

A Keypoint-based Global Association Network for Lane Detection. Accepted by CVPR 2022

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Vector (and Scalar) Quantization, in Pytorch

Pytorch implementation of convolutional neural network visualization techniques

PyTorch implementation of Expected Patch Log Likelihood (EPLL) image prior in paper "D. Zoran and Y. Weiss, "From learning models of natural image patches to whole image restoration," ICCV 2011.

Code release for ConvNeXt model

Image-to-Image Translation in PyTorch

Code for “MBLLEN: Low-light Image/Video Enhancement Using CNNs”, BMVC 2018.

Zero-DCE code and model

[IEEE TIP] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang