Lower Dimensional Kernels for Video Discriminators

This work presents an analysis of the discriminators used in Generative Adversarial Networks (GANs) for Video. We show that unconstrained video discriminator architectures induce a loss surface with high curvature which make optimisation difficult... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Video Generation UCF-101 16 frames, 128x128, Unconditional TGAN-F Inception Score 22.91 # 3
Video Generation UCF-101 16 frames, 64x64, Unconditional TGAN-F Inception Score 13.62 # 1
Video Generation UCF-101 16 frames, Unconditional, Single GPU TGAN-F Inception Score 22.91 # 1

Methods used in the Paper