khokao / diffusion-autoencoders
Unofficial Implementation of Diffusion Autoencoders
☆17Updated last year
Alternatives and similar repositories for diffusion-autoencoders
Users that are interested in diffusion-autoencoders are comparing it to the libraries listed below
Sorting:
- Code for the Paper "Improving Diffusion Model Efficiency Through Patching"☆114Updated last year
- Implementation of Binary Latent Diffusion☆51Updated last year
- ☆126Updated last year
- ☆108Updated 2 years ago
- Unofficial implementation of paper NULL-text Inversion for Editing Real Images using Guided Diffusion Models ( https://arxiv.org/abs/2211…☆83Updated 2 years ago
- PyTorch Implementation of V-objective Diffusion Probabilistic Models with Classifier-free Guidance☆32Updated last year
- ☆106Updated 4 months ago
- ☆114Updated 7 months ago
- A novel method that provides greater control over generated images by guiding the internal representations of the pre-trained Stable Diff…☆39Updated last year
- Code for our papers : "Generating images of rare concepts using pre-trained diffusion models" (AAAI 24) and "Norm-guided latent space exp…☆82Updated last year
- Official implementation of project NoiseCLR, published at CVPR 2024☆24Updated 11 months ago
- Official implementation of the paper "Improving Sample Quality of Diffusion Models Using Self-Attention Guidance" (ICCV 2023)☆237Updated last year
- [CVPR 2023] Specialist Diffusion: Extremely Low-Shot Fine-Tuning of Large Diffusion Models☆38Updated last year
- [CVPR2024] Official PyTorch implementation of "Contrastive Denoising Score(CDS) for Text-guided Latent Diffusion Image Editing"☆111Updated 6 months ago
- ☆92Updated last year
- [ICCV 2023] Zero-shot image editing with stochastic diffusion models☆55Updated last year
- Fine-Grained Subject-Specific Attribute Expression Control in T2I Models☆121Updated 2 months ago
- Posterior Sampling using Latent Diffusion - NeurIPS 2023☆151Updated last year
- [ICLR 2024] Code for our paper: GNRI: Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models☆50Updated 2 months ago
- PyTorch implementation of CLIP Maximum Mean Discrepancy (CMMD) for evaluating image generation models.☆125Updated last year
- [ICLR 2024] Official code for the paper 'Elucidating the Exposure Bias in Diffusion Models'☆44Updated last month
- Official implementation of the paper "Improving Sample Quality of Diffusion Models Using Self-Attention Guidance" (ICCV`23)☆118Updated 8 months ago
- [NeurIPS 2023] Official Code for CycleNet: Rethinking Cycle Consistent in Text‑Guided Diffusion for Image Manipulation☆89Updated last year
- Official implementation of the paper "Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models☆172Updated last year
- Official code for Accelerating Diffusion Sampling with Optimized Time Steps (CVPR 2024)☆31Updated last year
- ☆24Updated 6 months ago
- Official pytorch implementation of the paper: "An Edit Friendly DDPM Noise Space: Inversion and Manipulations". CVPR 2024.☆335Updated 10 months ago
- Official PyTorch implementation of "Generalized Consistency Trajectory Models for Image Manipulation"☆37Updated last year
- Official code for SeMani (CVPR 2020 oral and Journal extension)☆23Updated last year
- code for HiPer☆32Updated 2 years ago