DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models

DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models

17 December 2022

Gyeongnyeon Kim

Papers citing "DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models"

10 / 10 papers shown

Title
Incorporating Inductive Biases to Energy-based Generative Models Yukun Li Li-Ping Liu 52 0 0 02 May 2025
A Simple Approach to Unifying Diffusion-based Conditional Generation Xirui Li Charles Herrmann Kelvin C.K. Chan Yinxiao Li Deqing Sun Chao Ma Ming Yang DiffM VLM 43 1 0 15 Oct 2024
Semantic Image Synthesis via Diffusion Models Weilun Wang Weilun Wang Wen-gang Zhou Dongdong Chen Dong Chen Lu Yuan Houqiang Li DiffM 225 176 0 30 Jun 2022
Pretraining is All You Need for Image-to-Image Translation Tengfei Wang Ting Zhang Bo Zhang Hao Ouyang Dong Chen Qifeng Chen Fang Wen DiffM 189 178 0 25 May 2022
Decoder Denoising Pretraining for Semantic Segmentation Emmanuel B. Asiedu Simon Kornblith Ting Chen Niki Parmar Matthias Minderer Mohammad Norouzi AI4CE 193 26 0 23 May 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 212 778 0 27 Jan 2022
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 195 514 0 06 Dec 2021
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 342 1,588 0 10 Nov 2021
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Mingming Gong Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 182 1,707 0 06 Jun 2018
Designing Deep Networks for Surface Normal Estimation X. Wang David Fouhey Abhinav Gupta 3DV SSL 156 353 0 18 Nov 2014