[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation

[SIGGRAPH Asia 2024 (Journal Track)] StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal

SNE-RoadSeg for Freespace Detection in PyTorch, ECCV 2020

[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

Three-Filters-to-Normal: An Accurate and Ultrafast Surface Normal Estimator (RAL+ICRA'21)

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

An easy-to-use wrapper for work with dense per-pixel tasks in PyTorch (including multi-task learning)

Official code for FOUND: Foot Optimisation with Uncertain Normals for Surface Deformation using Synthetic Data

A virtual environment that allows changing isolated features in the image

Normal Inference Module in PyTorch, IROS 2020

PyTorch Implementation of "NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction"

Adversarial Structure Matching for Structured Prediction Tasks

TypeScript implementation of iterative closest point (ICP) for point cloud registration

使用onnxruntime部署微软发布的DAViD：深度估计、表面法线估计和软前景分割，包含C++和Python两个版本的程序

Progressive Decoder Fusion, Accepted at CoLLAs, 2022.

My Bachelor's Thesis Project