Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

Multi-mapping Image-to-Image Translation via Learning Disentanglement. NeurIPS2019

Official implementation of "Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive" (ICLR 2024)

Reproduce the CVPR 2019 oral paper "Semantic Image Synthesis with Spatially-Adaptive Normalization"

SuperStyleNet: Deep Image Synthesis with Superpixel Based Style Encoder (BMVC 2021)

Semantic Image Synthesis using deep neural networks

TSIT implementation in TensorFlow; TSIT: A Simple and Versatile Framework for Image-to-Image Translation

Code for the paper "Diffusion-based Semantic Image Synthesis from Sparse Layouts" (CGI 2023)

Code for my Bachelor thesis on Semantic Image Synthesis with Score-Based Generative Models

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.