conditional-generation

There are 34 repositories under conditional-generation topic.

  • Hzfinfdu/Diffusion-BERT

    ACL'2023: DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models

    Language:Python305113325

  • haofanwang/awesome-conditional-content-generation

    Update-to-data resources for conditional content generation, including human motion generation, image or video generation and editing.

    26815127

  • lxa9867/ImageFolder

    High-performance Image Tokenizers for VAR and AR

    Language:Python2289195

  • anton-jeran/FAST-RIR

    This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

    Language:Python1635429

  • georgosgeorgos/few-shot-diffusion-models

    Few-Shot Diffusion Models

    Language:Python1051135

  • lxa9867/ControlVAR

    This is the official implementation for ControlVAR.

    Language:Python1003223

  • XJTU-XGU/OTCS

    Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"

    Language:Jupyter Notebook57102

  • AI4HealthUOL/SSSD-ECG

    Repository for the paper: 'Diffusion-based Conditional ECG Generation with Structured State Space Models'

    Language:Python552229

  • aminK8/KnobGen

    Official Implementation of KnobGen: Controlling the Sophistication of Artwork in Sketch-Based Diffusion Models

    Language:Python38424

  • qizekun/VPP

    [NeurIPS 2023] VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation

    Language:Python32631

  • sian-chen/PyTorch-ECGAN

    The code for the NeurIPS 2021 paper "A Unified View of cGANs with and without Classifiers".

    Language:Python24312

  • ivanvovk/controllable-face-generation

    Controllable Face Generation via pretrained Conditional Adversarial Latent Autoencoder (ALAE)

    Language:Jupyter Notebook19334

  • mlvlab/SCDM

    Official PyTorch implementation of "Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis" (ICML 2024).

    Language:Python17520

  • kirillzx/TRGAN

    TRGAN: A Time-Dependent Generative Adversarial Network for Synthetic Transactional Data Generation

    Language:Jupyter Notebook10204
  • dlsm

    chen-hao-chao/dlsm

    [ICLR 2022] Denoising Likelihood Score Matching for Conditional Score-based Data Generation

    Language:Python8312

  • AIMedLab/FAME

    Code for the paper "FAME: Fragment-based Conditional Molecular Generation for Phenotypic Drug Discovery", published on SDM 2022.

    Language:Python7212

  • deepmancer/diffusion-gan-vae-pytorch

    A PyTorch implementation of various deep generative models, including Diffusion (DDPM), GAN, cGAN, and VAE.

    Language:Jupyter Notebook7102

  • zgbkdlm/fbs

    Forward-backward conditional sampling

    Language:Python7200

  • mims-harvard/CLEF

    Controllable Sequence Editing for Counterfactual Generation

    Language:Python6111
  • dlsm-toy

    chen-hao-chao/dlsm-toy

    [ICLR 2022] Toy Experiments for Denoising Likelihood Score Matching for Conditional Score-based Data Generation

    Language:Python4200

  • Aalto-QuML/Diffusion_twigs

    Supporting code for the NeurIPS 2024 paper 'Diffusion Twigs with Loop Guidance for Conditional Graph Generation'.

    Language:Python300

  • AlgoMathITMO/TRGAN

    TRGAN: A Time-Dependent Generative Adversarial Network for Synthetic Transactional Data Generation

    Language:Jupyter Notebook3000

  • dongmingli-Ben/LC-GAN

    A partial pytorch implementation of "Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models" for practice

    Language:Python3100

  • dongmingli-Ben/Chinese-Couplet-Generation

    Chinese couplet generation with transformer and simple transformer-based variants.

    Language:Python2100

  • ZanderNic/TabDataGAN

    A framework for tabular data generation using GANs, featuring conditional generation and benchmarking tools.

    Language:Jupyter Notebook20

  • afondiel/how-diffusion-models-work-crash-course-DLAI

    Diffusion Models crash course with Pytorch from DeepLearningAI

    Language:Jupyter Notebook110

  • brightside51/dMRI_cGen

    MSc Thesis on Conditional dMRI Generative AI Models and their applicability in the decreasing scan acquisition times and bettering of patient's quality of life.

    Language:Jupyter Notebook1100

  • guyez/Conditional-Generation-of-Faces

    The aim of this work is to generate new face images similar to training ones (the CelebA dataset) according to user specified attributes. To do that we ended up with an implementation of a Versatile Auxiliary Classifier + GAN.

    Language:Jupyter Notebook1000

  • sej2020/Diffusion-TS-Storage

    Metadata-conditional diffusion model for flexible time-series generation. Model + Analysis

    Language:Jupyter Notebook1

  • alescrnjar/FrameGen

    Conditional Generative Adversarial Network for Molecular Dynamics frame generation

    Language:Python0100

  • kimia-cvengineer/instruct_dreambooth

    A Few-shot Personalized Image Editing model utilizing Stable Diffusion to enable precise image modifications based on textual descriptions and reference images (Course Project).

    Language:Jupyter Notebook0100

  • sathya-ml/multimodal-vrnn-vae

    A PyTorch implementation of multimodal VRNN and VAE.

    Language:Python0100

  • AbdullahAlokayl/image-to-text-inspirations

    Fine-Tuning BLIP for Image Captioning A project to fine-tune the BLIP model for generating inspirational captions from images. Includes tools for training, comparing base vs fine-tuned outputs, and visualizing results.

    Language:Jupyter Notebook

  • berlin0308/Conditional-DDPM-DDIM

    DDPM (Denoising Diffusion Probabilistic Models) and DDIM (Denoising Diffusion Implicit Models) for conditional image generation

    Language:Python10