Learning multi-scale local conditional probability models of images

Learning multi-scale local conditional probability models of images

6 March 2023

Zahra Kadkhodaie

Eero P. Simoncelli

Papers citing "Learning multi-scale local conditional probability models of images"

11 / 11 papers shown

Title
DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image Generation Hao Phung Quan Dao T. Dao Hoang Phan Dimitris Metaxas Anh Tran Mamba 76 4 0 06 Nov 2024
Probing the Latent Hierarchical Structure of Data via Diffusion Models Antonio Sclocchi Alessandro Favero Noam Itzhak Levi Matthieu Wyart DiffM 40 5 0 17 Oct 2024
A Phase Transition in Diffusion Models Reveals the Hierarchical Nature of Data Antonio Sclocchi Alessandro Favero Matthieu Wyart DiffM 51 28 0 26 Feb 2024
TriNeRFLet: A Wavelet Based Triplane NeRF Representation Rajaei Khatib Raja Giryes 43 3 0 11 Jan 2024
Matryoshka Diffusion Models Jiatao Gu Shuangfei Zhai Yizhen Zhang Joshua M. Susskind Navdeep Jaitly DiffM 50 45 0 23 Oct 2023
Generalization in diffusion models arises from geometry-adaptive harmonic representations Zahra Kadkhodaie Florentin Guth Eero P. Simoncelli Stéphane Mallat AI4CE DiffM 66 69 0 04 Oct 2023
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation Tony Tohme Mohsen Sadr K. Youcef-Toumi N. Hadjiconstantinou 47 3 0 07 Jun 2023
Conditionally Strongly Log-Concave Generative Models Florentin Guth Etienne Lempereur Joan Bruna S. Mallat 57 3 0 31 May 2023
UDPM: Upsampling Diffusion Probabilistic Models Shady Abu Hussein Raja Giryes DiffM 64 1 0 25 May 2023
Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems Omer Belhasin Yaniv Romano Daniel Freedman Ehud Rivlin Michael Elad 48 24 0 17 May 2023
Soft Diffusion: Score Matching for General Corruptions Giannis Daras M. Delbracio Hossein Talebi A. Dimakis P. Milanfar DiffM 72 107 0 12 Sep 2022