gqn-datasets
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google-deepmind
Datasets used to train Generative Query Networks (GQNs) in the ‘Neural Scene Representation and Rendering’ paper.
https://github.com/deepmind/gqn-datasets/pull/18 creates a runtime `NameError` (pops up when you run the demo code). This is a small patch to fix it. ```sh Traceback (most recent call last): File "demo_code.py", line...
• Modify data_reader.py for TensorFlow 2.0 compatibility. - Replace deprecated functions. - Implement `data_reader` function, which returns `tensorflow.data.Dataset` instance. • https://github.com/iShohei220/tfp-gqn - Implementation of GQNs using the data reader.
Hello guys, I am working on GQN dataset and I would like to know about the camera intrinsic parameter for the room_ring_camera dataset ? In the paper, it says that...
Dear Fabio Viola, I checked the gqn dataset from https://github.com/deepmind/gqn-datasets. Shepard_metzler_7_parts contains 900 tfrecords for training. Each tfrecord has 20 scenes. So there are only 18000 scenes. For Mazes, there...
Hey guys, I converted the entire dataset to numpy and I was wondering if you'd like to integrate that into the official bucket. My free 300$ will be used up...
Hi I had 2 questions pertaining to the dataset: 1. The paper mentions 'top-down views' of the maze configurations. Are these views also included in the maze dataset, and if...
Hi, I am a little curious about the resolution of rendering images. Do you have tried higher resolution？ Or the training process of high resolution is slower, thus 64x64 is...
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Datasets used to train Generative Query Networks (GQNs) in the ‘Neural Scene Representation and Rendering’ paper.