sutd-visual-computing-group / awesome-generative-modeling-under-data-constraints
A Comprehensive List of Works for Generative Modeling with Limited Data, Few Shots, and Zero Shot
☆19Updated 11 months ago
Related projects: ⓘ
- A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting [ECCV 2024]☆50Updated 7 months ago
- PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"☆47Updated last year
- [ICCV 2023] Zero-shot image editing with stochastic diffusion models☆40Updated last year
- [NeurIPS 2022] code for the paper, SemMAE: Semantic-guided masking for learning masked autoencoders☆32Updated last year
- Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"☆75Updated 8 months ago
- [CVPR '23] Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion Models☆32Updated 5 months ago
- Unpaired Image-to-Image Translation with Shortest Path Regularization☆40Updated last year
- Code of our CVPR2024 paper - DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data☆38Updated 5 months ago
- Few-Shot Diffusion Models☆95Updated last year
- ☆38Updated last year
- The official implementation of Generalizable Implicit Neural Representations with Instance Pattern Composers(CVPR’23 highlight).☆37Updated last year
- An official implementation of CVPR 2023 "Self-Guided Diffusion Models"☆21Updated last year
- [NeurIPS2022] FreGAN: Exploiting Frequency Components for Training GANs under Limited Data☆57Updated last year
- ☆49Updated 11 months ago
- Code for ''MaskDiffusion: Exploiting Pre-trained Diffusion Models for Semantic Segmentation''☆19Updated 5 months ago
- [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training☆66Updated last year
- This repository contains the pytorch code for our ISBI 2024 paper "ConvLoRA and AdaBN Based Domain Adaptation via Self-Training".☆45Updated 6 months ago
- ☆36Updated last year
- Building blocks for uncertainty-aware cycle consistency presented at NeurIPS'21.☆25Updated 2 years ago
- Code for our CVPR'23 paper: "Polynomial Implicit Neural Representations For Large Diverse Datasets"☆35Updated last year
- Hyperbolic Image Segmentation, CVPR 2022☆72Updated 2 years ago
- Pytorch reimplementation of Decoder Denoising Pretraining for Semantic Segmentation☆45Updated last year
- ☆19Updated 10 months ago
- ☆16Updated 3 weeks ago
- ☆54Updated last year
- [NeurIPS 2022] Improving GANs with A Dynamic Discriminator☆63Updated last year
- The official github repo for "Test-Time Training with Masked Autoencoders"☆74Updated 10 months ago
- Code for the paper "Do text-free diffusion models learn discriminative visual representations?"☆16Updated 9 months ago
- [ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"☆128Updated 7 months ago
- [CVPR 2023] Zero-shot Generative Model Adaptation via Image-specific Prompt Learning☆82Updated last year