ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise
Optimization

ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization

6 June 2024

Shyamgopal Karthik

Alexey Dosovitskiy

Papers citing "ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization"

18 / 18 papers shown

Title
Not All Parameters Matter: Masking Diffusion Models for Enhancing Generation Ability L. Wang Senmao Li Fei Yang Jianye Wang Ziheng Zhang Lingjuan Lyu Y. Wang Jian Yang DiffM 61 0 0 06 May 2025
Fine-Grained Alignment and Noise Refinement for Compositional Text-to-Image Generation Amir Mohammad Izadi Seyed Mohsen Hosseini Soroush Vafaie Tabar Ali Abdollahi Armin Saghafian M. Baghshah EGVM 45 0 0 09 Mar 2025
DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling Xin Xie Dong Gong 82 1 0 01 Dec 2024
TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Ryugo Morita Stanislav Frolov Brian B. Moser Takahiro Shirakawa Ko Watanabe Andreas Dengel Jinjia Zhou DiffM 82 0 0 23 Nov 2024
Attention Overlap Is Responsible for The Entity Missing Problem in Text-to-image Diffusion Models! Arash Marioriyad Mohammadali Banayeeanzade Reza Abbasi M. Rohban M. Baghshah DiffM 75 3 0 28 Oct 2024
Scalable Ranked Preference Optimization for Text-to-Image Generation Shyamgopal Karthik Huseyin Coskun Zeynep Akata Sergey Tulyakov J. Ren Anil Kag EGVM 57 5 0 23 Oct 2024
Progressive Compositionality in Text-to-Image Generative Models Xu Han Linghao Jin Xiaofeng Liu Paul Pu Liang CoGe 106 2 0 22 Oct 2024
Aligning Diffusion Models by Optimizing Human Utility Shufan Li Konstantinos Kallidromitis Akash Gokul Yusuke Kato Kazuki Kozuka 107 29 0 06 Apr 2024
Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community Arman Isajanyan Artur Shatveryan David Kocharyan Zhangyang Wang Humphrey Shi EGVM 76 5 0 15 Feb 2024
Implicit Diffusion: Efficient Optimization through Stochastic Sampling Pierre Marion Anna Korba Peter Bartlett Mathieu Blondel Valentin De Bortoli Arnaud Doucet Felipe Llinares-López Courtney Paquette Quentin Berthet 79 12 0 08 Feb 2024
One-step Diffusion with Distribution Matching Distillation Tianwei Yin Michael Gharbi Richard Zhang Eli Shechtman Frédo Durand William T. Freeman Taesung Park DiffM 124 219 0 30 Nov 2023
Adversarial Diffusion Distillation Axel Sauer Dominik Lorenz A. Blattmann Robin Rombach 138 329 0 28 Nov 2023
Manifold Preserving Guided Diffusion Yutong He Naoki Murata Chieh-Hsin Lai Yuhta Takida Toshimitsu Uesaka ... Wei-Hsiang Liao Yuki Mitsufuji J. Zico Kolter Ruslan Salakhutdinov Stefano Ermon DiffM 116 64 0 28 Nov 2023
Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation Yuval Kirstain Adam Polyak Uriel Singer Shahbuland Matiana Joe Penna Omer Levy EGVM 168 351 0 02 May 2023
Generating images of rare concepts using pre-trained diffusion models Dvir Samuel Rami Ben-Ari Simon Raviv N. Darshan Gal Chechik 135 38 0 27 Apr 2023
End-to-End Diffusion Latent Optimization Improves Classifier Guidance Bram Wallace Akash Gokul Stefano Ermon Nikhil Naik 124 70 0 23 Mar 2023
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 392 4,137 0 28 Jan 2022
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 321 75,834 0 18 May 2015