[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation
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Updated
May 3, 2024 - Python
[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation
Official implementation of "Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive" (ICLR 2024)
Utilizing image-to-text generating machine learning models, the project automates the creation of visually engaging storyboards from ad descriptions. The repo includes data analysis, asset generation, composition, and storyboard construction.
Code for the paper "Diffusion-based Semantic Image Synthesis from Sparse Layouts" (CGI 2023)
Semantic Image Synthesis using deep neural networks
Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)
SuperStyleNet: Deep Image Synthesis with Superpixel Based Style Encoder (BMVC 2021)
Code for my Bachelor thesis on Semantic Image Synthesis with Score-Based Generative Models
Multi-mapping Image-to-Image Translation via Learning Disentanglement. NeurIPS2019
TSIT implementation in TensorFlow; TSIT: A Simple and Versatile Framework for Image-to-Image Translation
Reproduce the CVPR 2019 oral paper "Semantic Image Synthesis with Spatially-Adaptive Normalization"
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