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Found 5 papers, 5 papers with code
MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation
Furthermore, we can train MultiPlaneNeRF on a large data set and force our implicit decoder to generalize across many objects.
Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models
Recent transformer language models achieve outstanding results in many natural language processing (NLP) tasks.
HyperNeRFGAN: Hypernetwork approach to 3D NeRF GAN
Our architecture produces 2D images, but we use 3D-aware NeRF representation, which forces the model to produce correct 3D objects.
A Framework for Large Scale Synthetic Graph Dataset Generation
Recently there has been increasing interest in developing and deploying deep graph learning algorithms for many tasks, such as fraud detection and recommender systems.
HyperPocket: Generative Point Cloud Completion
In this work, we reformulate the problem of point cloud completion into an object hallucination task.
