https://thomas-tanay.github.io/
🔍 𝗖𝗵𝗮𝗿𝗴𝗲 introduces 3 benchmarking scenarios for common setups: Dense, Sparse, Monocular
🔍 𝗖𝗵𝗮𝗿𝗴𝗲 offers high-quality RGB images accompanied by depth, segmentation, optical flow, dynamic masks, normals
🔍 𝗖𝗵𝗮𝗿𝗴𝗲 introduces 3 benchmarking scenarios for common setups: Dense, Sparse, Monocular
🔍 𝗖𝗵𝗮𝗿𝗴𝗲 offers high-quality RGB images accompanied by depth, segmentation, optical flow, dynamic masks, normals
Their conclusion was that synthetic data works though: "We show that the model trained on the proposed synthetic dataset generalizes towards real clocks with good accuracy, advocating a Sim2Real training regime"
Their conclusion was that synthetic data works though: "We show that the model trained on the proposed synthetic dataset generalizes towards real clocks with good accuracy, advocating a Sim2Real training regime"