jinggew's Stars
lllyasviel/ControlNet
Let us control diffusion models!
huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
openai/guided-diffusion
zhaoxin94/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
salesforce/BLIP
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
MooreThreads/Moore-AnimateAnyone
Character Animation (AnimateAnyone, Face Reenactment)
JoePenna/Dreambooth-Stable-Diffusion
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.
PythonOT/POT
POT : Python Optimal Transport
THUDM/ImageReward
[NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation
mlmed/torchxrayvision
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
richard-peng-xia/awesome-multimodal-in-medical-imaging
A collection of resources on applications of multi-modal learning in medical imaging.
rishikksh20/ViViT-pytorch
Implementation of ViViT: A Video Vision Transformer
google-research/l2p
Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22
LeapLabTHU/MLLA
Official repository of MLLA (NeurIPS 2024)
cuhksz-nlp/R2Gen
HKU-MedAI/MGCA
[NeurIPS'22] Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning
ricvolpi/generalize-unseen-domains
Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018
r-three/phatgoose
Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"
Warvito/generative_brain_controlnet
Repository to train ControlNet on Brain data (UK BIOBANK) using MONAI Generative Models
huaxiuyao/Wild-Time
Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
mihirp1998/Diffusion-TTA
Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.
saiboxx/chexray-diffusion
Code for "Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis" @ PAKDD 2023
yulewang97/ERDiff
[NeurIPS'23 Spotlight] Official Repo for "Extraction and recovery of spatio-temporal structure in latent dynamics alignment with diffusion models"
DuYooho/ArSDM
[MICCAI-2023] ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models
ricvolpi/domain-shift-robustness
Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019
wjhou/Recap
Code for the paper "RECAP: Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoning" (EMNLP'23 Findings).
BioMedIA-MBZUAI/XReal
txsing/generalize-unseen-domains-PyTorch
PyTorch Implementation: Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018. Origin Tensorflow Implementation: https://github.com/ricvolpi/generalize-unseen-domains
meowoodie/Dr.k-NN
A robust classifier for few-training-data problem based on a distributionally robust optimization framework
igcondapet/IgCONDA-PET