Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion
Transformer

Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer

7 May 2024

Yuxiao Dong

Papers citing "Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer"

5 / 5 papers shown

Title
QDM: Quadtree-Based Region-Adaptive Sparse Diffusion Models for Efficient Image Super-Resolution Donglin Yang Paul Vicol Xiaojuan Qi Renjie Liao X. Zhang 34 0 0 15 Mar 2025
M $^3$ amba: CLIP-driven Mamba Model for Multi-modal Remote Sensing Classification Mingxiang Cao Weiying Xie Xin Zhang Jiaqing Zhang Kai Jiang Jie Lei Yunsong Li Mamba 44 0 0 09 Mar 2025
Diffusion Models Need Visual Priors for Image Generation Xiaoyu Yue Zidong Wang Zeyu Lu S. Sun Meng Wei Wanli Ouyang Lei Bai Luping Zhou VLM 43 1 0 11 Oct 2024
Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models Athanasios Tragakis Marco Aversa Chaitanya Kaul Roderick Murray-Smith Daniele Faccio 49 2 0 11 Jun 2024
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 232 75,445 0 18 May 2015