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Synthetic-to-Real Translation

9 papers with code · Computer Vision

Synthetic-to-real translation is the task of domain adaptation from synthetic (or virtual) data to real data.

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Greatest papers with code

Virtual to Real Reinforcement Learning for Autonomous Driving

13 Apr 2017SullyChen/Autopilot-TensorFlow

To our knowledge, this is the first successful case of driving policy trained by reinforcement learning that can adapt to real world driving data.

AUTONOMOUS DRIVING DOMAIN ADAPTATION SYNTHETIC-TO-REAL TRANSLATION TRANSFER LEARNING

Diverse Image-to-Image Translation via Disentangled Representations

ECCV 2018 HsinYingLee/DRIT

Our model takes the encoded content features extracted from a given input and the attribute vectors sampled from the attribute space to produce diverse outputs at test time.

DOMAIN ADAPTATION SYNTHETIC-TO-REAL TRANSLATION

FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation

8 Dec 2016stu92054/Domain-adaptation-on-segmentation

In this paper, we introduce the first domain adaptive semantic segmentation method, proposing an unsupervised adversarial approach to pixel prediction problems.

SEMANTIC SEGMENTATION SYNTHETIC-TO-REAL TRANSLATION