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Found 3 papers, 1 papers with code
Interpretable Motion Planner for Urban Driving via Hierarchical Imitation Learning
We evaluate our method both in closed-loop simulation and real world driving, and demonstrate the neural network planner has outstanding performance in complex urban autonomous driving scenarios.
Novel Video Prediction for Large-scale Scene using Optical Flow
Most of the existing methods for video prediction attempt to generate future frames in simple and fixed scenes.
Novel View Synthesis for Large-scale Scene using Adversarial Loss
Novel view synthesis aims to synthesize new images from different viewpoints of given images.
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