gansformer

Generative Adversarial Transformers (by dorarad)

Gansformer Alternatives

Similar projects and alternatives to gansformer

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better gansformer alternative or higher similarity.

gansformer reviews and mentions

Posts with mentions or reviews of gansformer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-24.
  • [D] GANs + Transformer = SOTA compositional generator? Compositional Transformers for Scene Generation explained (5-minute summary by Casual GAN Papers)
    2 projects | /r/MachineLearning | 24 Nov 2021
    arxiv / code
    2 projects | /r/MachineLearning | 24 Nov 2021
    Code for https://arxiv.org/abs/2111.08960 found: https://github.com/dorarad/gansformer
  • [R] Generative Adversarial Transformers (2103.01209)
    2 projects | /r/MachineLearning | 2 Mar 2021
    Abstract: We introduce the GANsformer, a novel and efficient type of transformer, and explore it for the task of visual generative modeling. The network employs a bipartite structure that enables long-range interactions across the image, while maintaining computation of linearly efficiency, that can readily scale to high-resolution synthesis. It iteratively propagates information from a set of latent variables to the evolving visual features and vice versa, to support the refinement of each in light of the other and encourage the emergence of compositional representations of objects and scenes. In contrast to the classic transformer architecture, it utilizes multiplicative integration that allows flexible region-based modulation, and can thus be seen as a generalization of the successful StyleGAN network. We demonstrate the model's strength and robustness through a careful evaluation over a range of datasets, from simulated multi-object environments to rich real-world indoor and outdoor scenes, showing it achieves state-of-the-art results in terms of image quality and diversity, while enjoying fast learning and better data-efficiency. Further qualitative and quantitative experiments offer us an insight into the model's inner workings, revealing improved interpretability and stronger disentanglement, and illustrating the benefits and efficacy of our approach. An implementation of the model is available at https://github.com/dorarad/gansformer.
    2 projects | /r/MachineLearning | 2 Mar 2021
    https://github.com/dorarad/gansformer/blob/148f72964219f8ead2621204bc5cfa89200b6879/training/network.py#L461
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    www.influxdata.com | 28 Mar 2024
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almost 2 years ago
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