Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained
Diffusion Generative Models

Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models

1 June 2023

Papers citing "Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models"

19 / 19 papers shown

Title
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data Yuxia Sun Aoxiang Sun Siyi Pan Zhixiao Fu Jingcai Guo 88 0 0 11 Feb 2025
TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning Miaoge Li Jingcai Guo Richard Yi Da Xu Dongsheng Wang Xiaofeng Cao Zhijie Rao Song Guo CoGe 89 3 0 28 Jan 2025
Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition Yang Chen Jingcai Guo Song Guo Dacheng Tao 44 0 0 18 Nov 2024
Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors Aiping Zhang Zongsheng Yue Renjing Pei Wenqi Ren Xiaochun Cao 42 7 0 25 Sep 2024
Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning Ziming Liu Jingcai Guo Song Guo Xiaocheng Lu VLM 36 2 0 22 Aug 2024
On the Element-Wise Representation and Reasoning in Zero-Shot Image Recognition: A Systematic Survey Jingcai Guo Zhijie Rao Zhi Chen Song Guo Jingren Zhou Dacheng Tao 47 3 0 09 Aug 2024
Dual Expert Distillation Network for Generalized Zero-Shot Learning Zhijie Rao Jingcai Guo Xiaocheng Lu Jingming Liang Jie Zhang Yining Qi Kang Wei Xiaofeng Cao FedML 41 3 0 25 Apr 2024
Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action Recognition Yang Chen Jingcai Guo Tian He Ling Wang 43 6 0 11 Apr 2024
Mixing Artificial and Natural Intelligence: From Statistical Mechanics to AI and Back to Turbulence Michael Chertkov AI4CE 40 3 0 26 Mar 2024
Fine-Grained Zero-Shot Learning: Advances, Challenges, and Prospects Jingcai Guo Zhijie Rao Song Guo Jingren Zhou Dacheng Tao 50 8 0 31 Jan 2024
ParsNets: A Parsimonious Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning Jingcai Guo Qihua Zhou Ruibin Li Xiaocheng Lu Ziming Liu Junyang Chen Xin Xie Jie Zhang 79 4 0 15 Dec 2023
Attribute-Aware Representation Rectification for Generalized Zero-Shot Learning Zhijie Rao Jingcai Guo Xiaocheng Lu Qihua Zhou Jiewei Zhang Kang Wei Chenxin Li Song Guo 36 6 0 23 Nov 2023
Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images Qingping Zheng Yuanfan Guo Jiankang Deng Jianhua Han Ying Li Songcen Xu Hang Xu 32 28 0 31 Aug 2023
SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection Zhijie Rao Jingcai Guo Luyao Tang Yue Huang Xinghao Ding Song Guo 39 16 0 04 Jul 2023
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 206 1,162 0 10 Sep 2022
Flexible Diffusion Modeling of Long Videos William Harvey Saeid Naderiparizi Vaden Masrani Christian D. Weilbach Frank Wood DiffM BDL VGen 176 290 0 23 May 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 220 795 0 27 Jan 2022
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 195 262 0 07 Jan 2021
Lightweight Image Super-Resolution with Information Multi-distillation Network Zheng Hui Xinbo Gao Yunchu Yang Xiumei Wang SupR 81 869 0 26 Sep 2019