gansformer
icl-ceil
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| gansformer | icl-ceil | |
|---|---|---|
| 7 | 1 | |
| 1,302 | 81 | |
| - | - | |
| 1.8 | 1.7 | |
| almost 2 years ago | about 1 year ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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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 🔥
References: Paper►: https://arxiv.org/pdf/2103.01209.pdf Code►: https://github.com/dorarad/gansformer Complete reference►: 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
icl-ceil
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A New AI Research Proposes Compositional Exemplars for In-context Learning (CEIL): A Novel Approach That Uses Determinantal Point Process (DPP) for More Efficient In-context Learning
Quick Read: https://www.marktechpost.com/2023/02/21/a-new-ai-research-proposes-compositional-exemplars-for-in-context-learning-ceil-a-novel-approach-that-uses-determinantal-point-process-dpp-for-more-efficient-in-context-learning/ Paper: https://arxiv.org/pdf/2302.05698.pdf Github: https://github.com/HKUNLP/icl-ceil
What are some alternatives?
pytorch-generative - Easy generative modeling in PyTorch.
Person_reID_baseline_pytorch - :bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
SteganoGAN - SteganoGAN is a tool for creating steganographic images using adversarial training.
Painter - Painter & SegGPT Series: Vision Foundation Models from BAAI
Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch - [ECCV 2022] Compositional Generation using Diffusion Models
open_flamingo - An open-source framework for training large multimodal models.
data-efficient-gans - [NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
long-range-arena - Long Range Arena for Benchmarking Efficient Transformers
similarity - TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
gnn-lspe - Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch