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Found 7 papers, 3 papers with code
Learning by Distillation: A Self-Supervised Learning Framework for Optical Flow Estimation
Then, a self-supervised learning framework is constructed: confident predictions from teacher models are served as annotations to guide the student model to learn optical flow for those less confident predictions.
Function4D: Real-time Human Volumetric Capture from Very Sparse Consumer RGBD Sensors
Human volumetric capture is a long-standing topic in computer vision and computer graphics.
Learning 3D Face Reconstruction with a Pose Guidance Network
We present a self-supervised learning approach to learning monocular 3D face reconstruction with a pose guidance network (PGN).
Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching
In this paper, we propose a unified method to jointly learn optical flow and stereo matching.
SelFlow: Self-Supervised Learning of Optical Flow
We present a self-supervised learning approach for optical flow.
Ranked #7 on
Optical Flow Estimation
on KITTI 2012
DDFlow: Learning Optical Flow with Unlabeled Data Distillation
We present DDFlow, a data distillation approach to learning optical flow estimation from unlabeled data.
Semantically Consistent Image Completion with Fine-grained Details
Image completion has achieved significant progress due to advances in generative adversarial networks (GANs).
