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SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation
AI Creates Synthetic 3D Worlds With Unsupervised Training | Game Futurology #33
Learning to Generate 3D Training Data Through Hybrid Gradient
Real-time monocular depth prediction
6DVO.UAV
Monocular Depth Prediction and Semantic Segmentation Fusion
Synthetic Data Generation Flow for Gun detector algorithms
Efficient DL-Based Semantic Mapping Approach Using Monocular Vision for Resource-Limited Devices.
Generate synthetic data in Supervisely
TriDepth: Triangular Patch-based Deep Depth Prediction (ICCVW2019)
EasyPBR: A Lightweight Physically-Based Renderer
Bridging the Domain Gap for Ground-to-Aerial Image Matching
