A procedural Blender pipeline for photorealistic training image generation
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Updated
Dec 11, 2025 - Python
A procedural Blender pipeline for photorealistic training image generation
Autonomous UAV Navigation without Collision using Visual Information in Airsim
Synthetic Blender Dataset Production
ForkNet: Adversarial Semantic Scene Completion from a Single Depth Image - ICCV 2019
Inference demo and evaluation scripts for the MICCAI-2019 paper "Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images"
Repository for the implementation of "FastV2C-HandNet: Fast Voxel to Coordinate Hand Pose Estimation with 3D Convolutional Neural Networks"
Depth Contrast: Self-Supervised Pretraining on 3DPM Images for Mining Material Classification (ECCV Workshops 2022)
A data set for upper body orientation estimation of humans with continuous ground truth labels for the angle perpendicular to the ground
Manage and process paired RGB and depth images, with options to view, export, and exclude images using various colormaps.
Upscale depth images (TIFF) using EDSR or OpenCV and batch them into structured .npz datasets.
Dataset for patch-based person classification (person vs. non-person objects) and posture classification (standing vs. sitting vs. squatting). The data was recorded using a Kinect2 sensor and consists of labeled depth image patches of 27 persons in various postures and of various non-person objects. In total, the dataset consists of more than 23…
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