When Perspective Comes for Free: Improving Depth Prediction with Camera Pose Encoding

8 Jul 2020Yunhan ZhaoShu KongCharless Fowlkes

Monocular depth prediction is a highly underdetermined problem and recent progress has relied on high-capacity CNNs to effectively learn scene statistics that disambiguate estimation. However, we observe that such models are strongly biased by the distribution of camera poses seen during training and fail to generalize to novel viewpoints, even when the scene geometry distribution remains fixed... (read more)

PDF Abstract


No code implementations yet. Submit your code now

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper

🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet