Diffusion-Models-Seminar

News

We are switching into an irregular meeting, where we discuss the recent literature or research problems concerning diffusion models (or sometimes generative modeling in general). If you want to join our group, please send your CV to [email protected].

Date	Topic	Presenter	Summary	Video
14th November, 2021	Denoising Diffusion Probabilistic Models	Sangyun Lee	Summary	Video
20th November, 2021	Improved Denoising Diffusion Probabilistic Models	Junha Hyung	Summary	Video
20th November, 2021	Diffusion Models Beat GANs on Image Synthesis	Sangyun Lee	Summary	Video
28th November, 2021	ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models	Youngin Cho	Summary	Video
28th November, 2021	Deep Unsupervised Learning using Non equilibrium Thermodynamics	Sejik Park	Summary	Video
05th December, 2021	SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models	Sanghyeon Lee	Summary	Video
12th December, 2021	Vector Quantized Diffusion Model for Text-to-Image Synthesis	Jiyoung Lee	Summary	Video
19th December, 2021	Score-based Generative Modelling through stochastic differential equations	Hyungjin Chung	Summary	Video
26th December, 2021	TACKLING THE GENERATIVE LEARNING TRILEMMA WITH DENOISING DIFFUSION GANS	Sangyun Lee	Summary	Video
26th December, 2021	CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation	Heejoon Koo	Summary
2nd January, 2022	GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models	Junha Hyung	Summary	Video
9th January, 2022	Denoising Diffusion Implicit Models	Sejik Park	Summary	Video
9th January, 2022	HIGH FIDELITY VISUALIZATION OF WHAT YOUR SELF-SUPERVISED REPRESENTATION KNOWS ABOUT	Jiyoung Lee	Summary	Video
16th January, 2022	Score-Based Generative Modeling with Critically-Damped Langevin Diffusion	Hyungjin Chung	Summary	Video
23rd January, 2022	Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting	Heejoon Koo	Summary	Video
30th January, 2022	Generative modeling by estimating gradients of the data distribution	Chanwoo Park	Summary	Video
6th February, 2022	Variational Diffusion Models	Sangyun Lee	Summary	Video
13th February, 2022	Denoising Diffusion Restoration Models	Gwanghyun Kim	Summary	Video
13th February, 2022	Diffusion Normalizing Flow	Sejik Park	Summary	Video
20th February, 2022	Score-based generative modeling in latent space	Hyungjin Chung	Summary	Video
27th February, 2022	Blended Diffusion for Text-driven Editing of Natural Images	Heejook Koo	Summary	Video
6th March, 2022	Score based Generative Modeling of Graphs via the system of Stochastic Differential Equations	Chanwoo Park	Summary	Video
13th March, 2022	High-Resolution Image Synthesis with Latent Diffusion Models	Sangyun Lee	Summary	Video
20th March, 2022	Score-Based Point Cloud Denoising	Jinhwan Seok	Summary	Video
27th March, 2022	DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation	Gwanghyun Kim	Summary	Video
3rd April, 2022	Structured Denoising Diffusion Models in Discrete State-Spaces	Hyungjin Chung	Summary	Video
17th April, 2022	Recent Trends In Diffusion-Based Text-Conditional Image Synthesis	Sangyun Lee	Summary Summary (English)	Video
8th May, 2022	Solving Inverse Problems in Medical Imaging with Score-Based Generative Models	Hyungjin Chung		Video
22nd May, 2022	Derivation of Probabilistic Flow ODE / Kolmogorov forward equation (Fokker Planck equation)	Sangyun Lee	Summary	Video
22nd May, 2022	Retreival-Augmented Diffusion model	Sungho Park	Summary	Video
29th May, 2022	Generating High Fidelity Data from Low-density Regions using Diffusion Models	Gwanghyun Kim	Summary	Video
5th June, 2022	Diffusion Models for Video	Hyungjin Chung	Summary	Video
10th July, 2022	Diffusion Autoencoders: Toward a Meaningful and Decodable Representation	Gwanghyun Kim	Summary	Video
17th July, 2022	Elucidating the Design Space of Diffusion-Based Generative Models	Hyungjin Chung	Summary	Video
31st July, 2022	Estimating High Order Gradients of the Data Distribution by Denoising	Sangyun Lee	Summary
25th September, 2022	Improving Diffusion Models for Inverse Problems using Manifold Constraints	Hyungjin Chung	Summary	Video