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Converts a depth map image to a normal map image using Python
Code of ICLR2023 paper "TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding" and ECCV2022 paper "Inverted Pyramid Multi-task Transformer for Dense Scene Understanding"
[MICCAI 2024] This is the official repository for our state-of-the-art approach to monocular depth in surgical vision as presented in our paper.
nyuv2 toolbox for data extraction and loading.
[SIGGRAPH Asia 2024 (Journal Track)] StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal
[ICCV2023 Oral & TPAMI2024] NDDepth: Normal-Distance Assisted Monocular Depth Estimation and Completion
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.
A curated list of awesome papers on dataset distillation and related applications.
Awesome-Fisheye-Camera-Perception
README and scripts for the Cityscapes Dataset
Pytorch Lightning入门中文教程，转载请注明来源。（当初是写着玩的，建议看完MNIST这个例子再上手）
This is the official repository for Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark (ICCV 2021).
The official repository of the paper "DCDepth: Progressive Monocular Depth Estimationin in Discrete Cosine Domain" (NeurIPS-2024)
Apply a fisheye distortion to rendered images using distortion coefficients [k1, k2, k3, k4]
Fisheye image correction and distortion table conversion.
[NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-sim…
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
Efficient vision foundation models for high-resolution generation and perception.
Official Implementation of LOTUS: Diffusion-based Visual Foundation Model for High-quality Dense Prediction
[CVPR 2024 Highlight] GenAD: Generalized Predictive Model for Autonomous Driving & Foundation Models in Autonomous System
整理 pytorch 单机多 GPU 训练方法与原理
The official repo for [TPAMI'23] "Vision Transformer with Quadrangle Attention"