xiaoboxia / PICMMLinks
NeurIPS'2022: Pluralistic Image Completion with Gaussian Mixture Models
☆14Updated 2 years ago
Alternatives and similar repositories for PICMM
Users that are interested in PICMM are comparing it to the libraries listed below
Sorting:
- Regularly Truncated M-estimators for Learning with Noisy Labels☆11Updated last year
- IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models☆59Updated last year
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆76Updated 8 months ago
- ICCV'2023: Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples☆11Updated 2 years ago
- [NeurIPS 2023] Generalized Logit Adjustment☆39Updated last year
- [CIKM-2024] Official code for work "ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance"☆19Updated last year
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆83Updated last year
- Is synthetic data from generative models ready for image recognition?☆184Updated 2 years ago
- Efficient Dataset Distillation by Representative Matching☆113Updated last year
- Code for our ICML'24 on multimodal dataset distillation☆41Updated last year
- ☆18Updated last year
- [CVPR-2023] The IEEE/CVF Conference on Computer Vision and Pattern Recognition☆24Updated 2 years ago
- Uni-OVSeg is a weakly supervised open-vocabulary segmentation framework that leverages unpaired mask-text pairs.☆52Updated last year
- ☆29Updated 2 years ago
- Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"☆95Updated last year
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆98Updated last year
- Official repo for ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models☆22Updated 7 months ago
- Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.☆76Updated last year
- ☆53Updated 3 years ago
- [ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuning☆88Updated last year
- ☆29Updated last year
- ☆64Updated last year
- [ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"☆182Updated last year
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆71Updated 6 months ago
- ☆16Updated last year
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- Official implementation for 'Class-Balancing Diffusion Models'☆54Updated last year
- A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"☆35Updated last year
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆48Updated 2 years ago
- [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"☆17Updated 8 months ago