Image Generation from Image Captioning -- Invertible Approach
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866914992307044352 |
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| author | Menon, Nandakishore S Kamanchi, Chandramouli Diddigi, Raghuram Bharadwaj |
| author_facet | Menon, Nandakishore S Kamanchi, Chandramouli Diddigi, Raghuram Bharadwaj |
| contents | Our work aims to build a model that performs dual tasks of image captioning and image generation while being trained on only one task. The central idea is to train an invertible model that learns a one-to-one mapping between the image and text embeddings. Once the invertible model is efficiently trained on one task, the image captioning, the same model can generate new images for a given text through the inversion process, with no additional training. This paper proposes a simple invertible neural network architecture for this problem and presents our current findings. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_20171 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Image Generation from Image Captioning -- Invertible Approach Menon, Nandakishore S Kamanchi, Chandramouli Diddigi, Raghuram Bharadwaj Computer Vision and Pattern Recognition Our work aims to build a model that performs dual tasks of image captioning and image generation while being trained on only one task. The central idea is to train an invertible model that learns a one-to-one mapping between the image and text embeddings. Once the invertible model is efficiently trained on one task, the image captioning, the same model can generate new images for a given text through the inversion process, with no additional training. This paper proposes a simple invertible neural network architecture for this problem and presents our current findings. |
| title | Image Generation from Image Captioning -- Invertible Approach |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2410.20171 |