deeplearning-wisc / dream-oodLinks
source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"
☆71Updated 7 months ago
Alternatives and similar repositories for dream-ood
Users that are interested in dream-ood are comparing it to the libraries listed below
Sorting:
- ☆41Updated 2 years ago
- Augmenting with Language-guided Image Augmentation (ALIA)☆81Updated 2 years ago
- ☆115Updated 2 years ago
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆48Updated 2 years ago
- source code for ICLR'23 paper "Non-parametric Outlier Synthesis"☆51Updated 2 years ago
- Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.☆77Updated last year
- [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompt…☆46Updated 10 months ago
- ☆64Updated last year
- ☆59Updated 10 months ago
- Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"☆95Updated last year
- [ICLR 2024] Test-Time RL with CLIP Feedback for Vision-Language Models.☆95Updated 3 weeks ago
- Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"☆110Updated 2 years ago
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆98Updated last year
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆68Updated last year
- [ICLR 2024] Real-Fake: Effective Training Data Synthesis Through Distribution Matching☆79Updated last year
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆131Updated last year
- Create generated datasets and train robust classifiers☆36Updated 2 years ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆76Updated 8 months ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆48Updated 3 years ago
- Official implementation for 'Class-Balancing Diffusion Models'☆54Updated last year
- ☆13Updated 3 years ago
- Is synthetic data from generative models ready for image recognition?☆184Updated 2 years ago
- Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…☆61Updated 2 years ago
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆84Updated last year
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …☆22Updated last year
- official implementation of "Interpreting CLIP's Image Representation via Text-Based Decomposition"☆232Updated 5 months ago
- Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"☆84Updated last year
- Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning☆32Updated last year
- Efficient Dataset Distillation by Representative Matching☆113Updated last year
- [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"☆178Updated last year