gansformer
Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch
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gansformer | Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch | |
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7 | 2 | |
1,302 | 430 | |
- | 1.9% | |
1.8 | 3.8 | |
almost 2 years ago | 11 months ago | |
Python | Jupyter Notebook | |
MIT License | GNU General Public License v3.0 or later |
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gansformer
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[D] GANs + Transformer = SOTA compositional generator? Compositional Transformers for Scene Generation explained (5-minute summary by Casual GAN Papers)
Code for https://arxiv.org/abs/2111.08960 found: https://github.com/dorarad/gansformer
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Generative Adversarial Transformers [R]
As for whether the Ys are shared across layers, check the code.
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[Project] These players does not exist
I tested the gansformer (https://github.com/dorarad/gansformer) to generate football player faces. Here are some selected results (actually some of the images are real players):
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GANsformers: Scene Generation with Generative Adversarial Transformers š„
References: Paperāŗ: https://arxiv.org/pdf/2103.01209.pdf Codeāŗ: https://github.com/dorarad/gansformer Complete referenceāŗ: Drew A. Hudson and C. Lawrence Zitnick, Generative Adversarial Transformers, (2021), Published on Arxiv.
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[R] Generative Adversarial Transformers (2103.01209)
https://github.com/dorarad/gansformer/blob/148f72964219f8ead2621204bc5cfa89200b6879/training/network.py#L461
Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch
- Help with Composable-Diffusion
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Compositional Diffusion
Composable Diffusion
What are some alternatives?
pytorch-generative - Easy generative modeling in PyTorch.
stable-diffusion-compositional
SteganoGAN - SteganoGAN is a tool for creating steganographic images using adversarial training.
Catlab.jl - A framework for applied category theory in the Julia language
data-efficient-gans - [NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
Awesome-Diffusion-Models - A collection of resources and papers on Diffusion Models
long-range-arena - Long Range Arena for Benchmarking Efficient Transformers
score_sde - Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
gnn-lspe - Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
score_sde_pytorch - PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
icl-ceil - [ICML 2023] Code for our paper āCompositional Exemplars for In-context Learningā.
diffusion_models - Minimal standalone example of diffusion model