Generative Modeling using GANs, DCGANs, WGAN, WGAN-GP, ProGAN, Conditional GANs and Controllable Generation.
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Updated
Mar 4, 2021 - Jupyter Notebook
Generative Modeling using GANs, DCGANs, WGAN, WGAN-GP, ProGAN, Conditional GANs and Controllable Generation.
[EMNLP2022] BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models
[ACL2023] NeuroStructural Decoding: Neural Text Generation with Structural Constraints
Stay upto date with recent papers in the field!
Using diffusion model to reach controllable end-to-end driving with Carla simulation environment.
[ECCV 2024] AnyControl, a multi-control image synthesis model that supports any combination of user provided control signals. 一个支持用户自由输入控制信号的图像生成模型,能够根据多种控制生成自然和谐的结果!
This repository contains the implementation of the project: "Controlling DDPMs and VAEs through EBMs" for the Deep Generative Models class @ UIC
Code for my Bachelor thesis on Semantic Image Synthesis with Score-Based Generative Models
Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled, TMLR 2024
awesome-LLM-controlled-constrained-generation
Code for CHARD: Clinical Health-Aware Reasoning Across Dimensions for Text Generation Models
PerlDiff: Controllable Street View Synthesis Using Perspective-Layout Diffusion Models
Controllable mage captioning model with unsupervised modes
Code for SMERTI for Semantic Text Exchange.
Code for SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation (https://aclanthology.org/2021.inlg-1.21/) INLG 2021 Best Long Paper.
Source code of our TACL paper "Controllable Summarization with Constrained Markov Decision Process"
[Paperlist] Awesome paper list of controllable text generation via latent auto-encoders. Contributions of any kind are welcome.
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