UCSB ML&NLP Group

Pinned Repositories

CoPaint
Implementation of paper 'Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models'
Language:Python55 3 75
DiffSTE
Language:Python78 3 198
Diffusion-SpaceTime-Attn
Official implementation of the paper "Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis"
Language:Jupyter Notebook85 5 84
diffusion_resampling
Official repo for the paper "Correcting Diffusion Generation through Resampling"
Language:Python22 2 11
DiffusionDisentanglement
Official implementation of the paper "Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models
Language:Jupyter Notebook152 6 89
Fairness-Reprogramming
Language:Python15 3 34
llm_uncertainty
Language:Python71
PromptBoosting
Language:Python15 1 04
SelfDenoise
Language:Python102
TextGrad
Language:Python10 1 12

UCSB ML&NLP Group's Repositories

UCSB-NLP-Chang/DiffusionDisentanglement
Official implementation of the paper "Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models
Language:Jupyter Notebook152 6 89
UCSB-NLP-Chang/Diffusion-SpaceTime-Attn
Official implementation of the paper "Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis"
Language:Jupyter Notebook85 5 84
UCSB-NLP-Chang/DiffSTE
Language:Python78 3 198
UCSB-NLP-Chang/CoPaint
Implementation of paper 'Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models'
Language:Python55 3 75
UCSB-NLP-Chang/diffusion_resampling
Official repo for the paper "Correcting Diffusion Generation through Resampling"
Language:Python22 2 11
UCSB-NLP-Chang/Fairness-Reprogramming
Language:Python15 3 34
UCSB-NLP-Chang/PromptBoosting
Language:Python15 1 04
UCSB-NLP-Chang/SelfDenoise
Language:Python102
UCSB-NLP-Chang/TextGrad
Language:Python10 1 12
UCSB-NLP-Chang/llm_uncertainty
Language:Python71
UCSB-NLP-Chang/Augment_tableQA
Language:Python6
UCSB-NLP-Chang/SemanticSmooth
Language:Python61