L-YeZhu / BoundaryDiffusionLinks
[NeurIPS2023] BoundaryDiffusion: A learning-free method for semantic control with Diffusion Models
☆39Updated last year
Alternatives and similar repositories for BoundaryDiffusion
Users that are interested in BoundaryDiffusion are comparing it to the libraries listed below
Sorting:
- [ICCV 2023] Zero-shot image editing with stochastic diffusion models☆57Updated last year
- Official implementation of project NoiseCLR, published at CVPR 2024☆26Updated last year
- [CVPR '23] Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion Models☆36Updated last year
- ICCV2023-Diffusion-Papers☆108Updated last year
- Repo for our CVPR 2023 paper on "High-Fidelity Guided Image Synthesis with Latent Diffusion Models"☆28Updated 2 years ago
- Implementation of "DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning"☆93Updated last year
- [CVPR 2023] Zero-shot Generative Model Adaptation via Image-specific Prompt Learning☆84Updated last year
- Official Implementations "Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models" (ICLR2024)☆51Updated 7 months ago
- Official Implementation of LIME: Localized Image Editing via Attention Regularization in Diffusion Models [WACV 2025]☆5Updated 3 months ago
- The official repository of "Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models".☆50Updated last year
- Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation (ICCV 2023)☆64Updated last year
- ☆51Updated last year
- [NeurIPS-2022] Annual Conference on Neural Information Processing Systems☆19Updated last year
- [NeurIPS 2023] Official Code for CycleNet: Rethinking Cycle Consistent in Text‑Guided Diffusion for Image Manipulation☆91Updated last year
- ☆95Updated last year
- ☆80Updated 7 months ago
- Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"☆89Updated last year
- fixed official code for paper "A Closer Look at Parameter-Efficient Tuning in Diffusion Models".☆41Updated 2 years ago
- ☆55Updated last year
- 👀 Visual Instruction Inversion: Image Editing via Visual Prompting (NeurIPS 2023)☆91Updated last year
- Official repository for "SODA: Bottleneck Diffusion Models for Representation Learning"☆24Updated last year
- ☆21Updated last year
- ☆126Updated last year
- Official PyTorch Implementation for Shape-Guided Diffusion with Inside-Outside Attention, WACV 2024☆37Updated last year
- Official PyTorch Implementation for Diffusion Hyperfeatures, NeurIPS 2023☆106Updated 8 months ago
- ☆20Updated last year
- [CVPR`2024, Oral] Attention Calibration for Disentangled Text-to-Image Personalization☆103Updated last year
- Fine-tune VAE of Stable Diffusion model☆38Updated 9 months ago
- ☆109Updated 5 months ago
- Official implementation of the paper "Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models☆174Updated last year