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[RA-L 2024] DriveSceneGen: Generating Diverse and Realistic Driving Scenarios from Scratch
Python sample codes and textbook for robotics algorithms.
A collection of resources and papers on Diffusion Models
Autoware - the world's leading open-source software project for autonomous driving
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
[NeurIPS 2024 Best Paper][GPT beats diffusion?] [scaling laws in visual generation?] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
[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.