Adamdad / Repfusion
☆54Updated last year
Alternatives and similar repositories for Repfusion:
Users that are interested in Repfusion are comparing it to the libraries listed below
- [CVPR 2023] Zero-shot Generative Model Adaptation via Image-specific Prompt Learning☆84Updated last year
- PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"☆48Updated 2 years ago
- [ECCV 2024] Official pytorch implementation of "Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts"☆38Updated 8 months ago
- Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"☆89Updated last year
- Codebase for the paper-Elucidating the design space of language models for image generation☆45Updated 4 months ago
- Official Repository of Personalized Visual Instruct Tuning☆28Updated 3 weeks ago
- [ECCV 2024] Official repository for "DataDream: Few-shot Guided Dataset Generation"☆32Updated 8 months ago
- Adapting LLaMA Decoder to Vision Transformer☆28Updated 10 months ago
- fixed official code for paper "A Closer Look at Parameter-Efficient Tuning in Diffusion Models".☆41Updated last year
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆67Updated 2 months ago
- [ICLR 2025] SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image and Video Generation☆31Updated 2 months ago
- Official code for paper "Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models, ICML2024"☆24Updated last month
- Official Pytorch Implementation of Our CVPR2023 Paper: "Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image…☆57Updated last year
- Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.☆32Updated last year
- Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)☆38Updated last year
- ☆52Updated 2 years ago
- Compress conventional Vision-Language Pre-training data☆49Updated last year
- [NeurIPS 2024] Official PyTorch implementation of "Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives"☆37Updated 3 months ago
- [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompt…☆38Updated 3 months ago
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆81Updated last year
- ☆42Updated last year
- [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training☆74Updated last year
- [CVPR 2024 Highlight] ImageNet-D☆41Updated 5 months ago
- Implementation of "DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning"☆85Updated last year
- Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.☆69Updated last year
- PyTorch code for "Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training"☆33Updated last year
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆45Updated last year
- Code for the paper "Do text-free diffusion models learn discriminative visual representations?"☆24Updated last year
- [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"☆173Updated last year
- [NeurIPS 2024] MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models☆52Updated 3 months ago