BriefGPT.xyz
Sep, 2016
上下文RNN-GAN用于抽象推理图生成
Contextual RNN-GANs for Abstract Reasoning Diagram Generation
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Arnab Ghosh, Viveka Kulharia, Amitabha Mukerjee, Vinay Namboodiri, Mohit Bansal
TL;DR
通过开发一种新的基于循环神经网络(RNN)的上下文生成敌对网络(Context-RNN-GANs)来通过建模逐步变化的图像序列,从而理解、预测和生成物体的运动和转换,它在图表抽象推理和标准视频下一帧预测任务中表现出与人类相似的水平。
Abstract
Understanding, predicting, and generating
object motions
and transformations is a core problem in
artificial intelligence
.
modeling sequences
→