Latent Diffusion U-Net Representations Contain Positional Embeddings and Anomalies

9 April 2025

Papers citing "Latent Diffusion U-Net Representations Contain Positional Embeddings and Anomalies"

22 / 22 papers shown

Title
Distillation of Diffusion Features for Semantic Correspondence Frank Fundel Johannes Schusterbauer Vincent Tao Hu Bjorn Ommer DiffM 134 6 0 04 Dec 2024
ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation Suraj Patni Aradhye Agarwal Chetan Arora VLM DiffM MDE 70 30 0 27 Mar 2024
An Analysis of Human Alignment of Latent Diffusion Models Lorenz Linhardt Marco Morik Sidney Bender Naima Elosegui Borras DiffM 73 3 0 13 Mar 2024
Deconstructing Denoising Diffusion Models for Self-Supervised Learning Xinlei Chen Zhuang Liu Saining Xie Kaiming He DiffM 74 60 0 25 Jan 2024
SODA: Bottleneck Diffusion Models for Representation Learning Drew A. Hudson Daniel Zoran Mateusz Malinowski Andrew Kyle Lampinen Andrew Jaegle James L. McClelland Loic Matthey Felix Hill Alexander Lerchner DiffM 83 55 0 29 Nov 2023
SD4Match: Learning to Prompt Stable Diffusion Model for Semantic Matching Xinghui Li Jingyi Lu Kai Han V. Prisacariu DiffM 69 21 0 26 Oct 2023
Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment Royi Rassin Eran Hirsch Daniel Glickman Shauli Ravfogel Yoav Goldberg Gal Chechik DiffM 69 108 0 15 Jun 2023
Beyond Surface Statistics: Scene Representations in a Latent Diffusion Model Yida Chen Fernanda Viégas Martin Wattenberg DiffM 49 24 0 09 Jun 2023
Emergent Correspondence from Image Diffusion Luming Tang Menglin Jia Qianqian Wang Cheng Perng Phoo Bharath Hariharan 91 266 0 06 Jun 2023
Unleashing Text-to-Image Diffusion Models for Visual Perception Wenliang Zhao Yongming Rao Zuyan Liu Benlin Liu Jie Zhou Jiwen Lu ObjD VLM MDE 239 231 0 03 Mar 2023
Scalable Diffusion Models with Transformers William S. Peebles Saining Xie GNN 100 2,386 0 19 Dec 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 283 30,149 0 01 Mar 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 466 15,665 0 20 Dec 2021
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 277 536 0 06 Dec 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 244 7,933 0 11 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 700 6,121 0 29 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 967 29,731 0 26 Feb 2021
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 669 18,276 0 19 Jun 2020
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,954 0 12 Jul 2019
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,341 0 18 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 306 7,005 0 12 Mar 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,590 0 01 Sep 2014