There are 2 repositories under controllable-generation topic.
Caption-Anything is a versatile tool combining image segmentation, visual captioning, and ChatGPT, generating tailored captions with diverse controls for user preferences. https://huggingface.co/spaces/TencentARC/Caption-Anything https://huggingface.co/spaces/VIPLab/Caption-Anything
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations
A collection of resources on controllable generation with text-to-image diffusion models.
Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"
Update-to-data resources for conditional content generation, including human motion generation, image or video generation and editing.
Official implementation of "Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting"
A curated list of resources of audio-driven talking face generation
Official PyTorch Implementation for InfoSwap
[ICML 2023] Official PyTorch Implementation of "Hierarchical Neural Coding for Controllable CAD Model Generation".
[Paperlist] Awesome paper list of controllable text generation via latent auto-encoders. Contributions of any kind are welcome.
[CVPR 2024] Official implementation of "Towards Realistic Scene Generation with LiDAR Diffusion Models"
Implementation of Collage Diffusion (https://arxiv.org/abs/2303.00262)
Controllable mage captioning model with unsupervised modes
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"
Generative Modeling using GANs, DCGANs, WGAN, WGAN-GP, ProGAN, Conditional GANs and Controllable Generation.
Implementations of Generative Adversarial Networks and AutoEncoders in Pytorch
[EMNLP2022] BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples
[ACL2023] NeuroStructural Decoding: Neural Text Generation with Structural Constraints
Stay upto date with recent papers in the field!
This repository contains the implementation of the project: "Controlling DDPMs and VAEs through EBMs" for the Deep Generative Models class @ UIC
Code for CHARD: Clinical Health-Aware Reasoning Across Dimensions for Text Generation Models
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