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Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing
v1v2v3v4v5 (latest)

Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing

25 March 2025
Jaihoon Kim
Taehoon Yoon
Jisung Hwang
Minhyuk Sung
    DiffM
ArXiv (abs)PDFHTMLHuggingFace (34 upvotes)Github (24539★)

Papers citing "Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing"

50 / 71 papers shown
Rethinking Prompt Design for Inference-time Scaling in Text-to-Visual Generation
Rethinking Prompt Design for Inference-time Scaling in Text-to-Visual Generation
Subin Kim
Sangwoo Mo
Mamshad Nayeem Rizve
Yiran Xu
Difan Liu
Jinwoo Shin
Tobias Hinz
LRM
189
0
0
03 Dec 2025
FR-TTS: Test-Time Scaling for NTP-based Image Generation with Effective Filling-based Reward Signal
Hang Xu
Linjiang Huang
Feng Zhao
102
0
0
29 Nov 2025
TTSnap: Test-Time Scaling of Diffusion Models via Noise-Aware Pruning
TTSnap: Test-Time Scaling of Diffusion Models via Noise-Aware Pruning
Qingtao Yu
Changlin Song
Minghao Sun
Zhengyang Yu
Vinay Kumar Verma
Soumya Roy
Sumit Negi
Hongdong Li
Dylan Campbell
96
0
0
27 Nov 2025
DiverseVAR: Balancing Diversity and Quality of Next-Scale Visual Autoregressive Models
DiverseVAR: Balancing Diversity and Quality of Next-Scale Visual Autoregressive Models
Mingue Park
Prin Phunyaphibarn
Phillip Y. Lee
Minhyuk Sung
112
0
0
26 Nov 2025
Inference-Time Compute Scaling For Flow Matching
Inference-Time Compute Scaling For Flow Matching
Adam Stecklov
Noah El Rimawi-Fine
Mathieu Blanchette
116
0
0
20 Oct 2025
Visual Autoregressive Models Beat Diffusion Models on Inference Time Scaling
Visual Autoregressive Models Beat Diffusion Models on Inference Time Scaling
Erik Riise
Mehmet Onurcan Kaya
Dim P. Papadopoulos
308
0
0
19 Oct 2025
FLOWR.root: A flow matching based foundation model for joint multi-purpose structure-aware 3D ligand generation and affinity prediction
FLOWR.root: A flow matching based foundation model for joint multi-purpose structure-aware 3D ligand generation and affinity prediction
Julian Cremer
Tuan Le
Mohammad M. Ghahremanpour
Emilia Sługocka
Filipe Menezes
Djork-Arné Clevert
351
0
0
02 Oct 2025
Diffusion Alignment as Variational Expectation-Maximization
Diffusion Alignment as Variational Expectation-Maximization
Jaewoo Lee
Minsu Kim
S. Choi
Inhyuck Song
Sujin Yun
Hyeongyu Kang
Woocheol Shin
Taeyoung Yun
Kiyoung Om
Jinkyoo Park
112
0
0
01 Oct 2025
Navigating the Exploration-Exploitation Tradeoff in Inference-Time Scaling of Diffusion Models
Navigating the Exploration-Exploitation Tradeoff in Inference-Time Scaling of Diffusion Models
Xun Su
Jianming Huang
Yang Yusen
Zhongxi Fang
Hiroyuki Kasai
DiffM
164
1
0
17 Aug 2025
Inference-Time Scaling of Diffusion Language Models with Particle Gibbs Sampling
Inference-Time Scaling of Diffusion Language Models with Particle Gibbs Sampling
Meihua Dang
Jiaqi Han
Minkai Xu
Kai Xu
Akash Srivastava
Stefano Ermon
DiffM
111
7
0
11 Jul 2025
When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration
When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration
Quan Shi
Carlos E. Jimenez
Shunyu Yao
Nick Haber
Diyi Yang
Karthik Narasimhan
328
1
0
05 Jun 2025
Psi-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models
Psi-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models
Taehoon Yoon
Yunhong Min
Kyeongmin Yeo
Minhyuk Sung
361
0
0
02 Jun 2025
Test-Time Scaling of Diffusion Models via Noise Trajectory Search
Test-Time Scaling of Diffusion Models via Noise Trajectory Search
Vignav Ramesh
Morteza Mardani
DiffM
213
10
0
24 May 2025
Scaling Image and Video Generation via Test-Time Evolutionary Search
Haoran He
Jiajun Liang
X. Wang
Pengfei Wan
Di Zhang
Kun Gai
Ling Pan
DiffM
399
8
0
23 May 2025
Flow-GRPO: Training Flow Matching Models via Online RL
Flow-GRPO: Training Flow Matching Models via Online RL
Jie Liu
Gongye Liu
Jiajun Liang
Yongqian Li
Jiaheng Liu
Xinyu Wang
Pengfei Wan
Di Zhang
Wanli Ouyang
AI4CE
820
173
0
08 May 2025
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-AI
Daya Guo
Dejian Yang
Haowei Zhang
Junxiao Song
...
Shiyu Wang
S. Yu
Shunfeng Zhou
Shuting Pan
S.S. Li
OffRLAI4TSLRMReLMVLM
1.2K
5,342
0
22 Jan 2025
Open-Sora: Democratizing Efficient Video Production for All
Open-Sora: Democratizing Efficient Video Production for All
Zangwei Zheng
Xiangyu Peng
Tianji Yang
Chenhui Shen
Shenggui Li
Hongxin Liu
Yukun Zhou
Tianyi Li
Yang You
VGen
732
466
0
31 Dec 2024
Flow Matching Guide and Code
Flow Matching Guide and Code
Y. Lipman
Marton Havasi
Peter Holderrieth
Neta Shaul
Matt Le
Brian Karrer
Ricky T. Q. Chen
David Lopez-Paz
Heli Ben-Hamu
Itai Gat
261
143
0
09 Dec 2024
Derivative-Free Guidance in Continuous and Discrete Diffusion Models
  with Soft Value-Based Decoding
Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding
Xiner Li
Yulai Zhao
Chenyu Wang
Gabriele Scalia
Gökçen Eraslan
Surag Nair
Tommaso Biancalani
Aviv Regev
Sergey Levine
Masatoshi Uehara
400
81
0
15 Aug 2024
GenAI Arena: An Open Evaluation Platform for Generative Models
GenAI Arena: An Open Evaluation Platform for Generative ModelsNeural Information Processing Systems (NeurIPS), 2024
Dongfu Jiang
Max Ku
Tianle Li
Yuansheng Ni
Shizhuo Sun
Rongqi Fan
Wenhu Chen
EGVM
449
45
0
06 Jun 2024
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 OptimizationNeural Information Processing Systems (NeurIPS), 2024
L. Eyring
Shyamgopal Karthik
Karsten Roth
Alexey Dosovitskiy
Zeynep Akata
317
67
0
06 Jun 2024
Bridging Model-Based Optimization and Generative Modeling via
  Conservative Fine-Tuning of Diffusion Models
Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models
Masatoshi Uehara
Yulai Zhao
Ehsan Hajiramezanali
Gabriele Scalia
Gökçen Eraslan
Avantika Lal
Sergey Levine
Tommaso Biancalani
411
24
0
30 May 2024
InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise
  Optimization
InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization
Xiefan Guo
Jinlin Liu
Miaomiao Cui
Jiankai Li
Hongyu Yang
Di Huang
382
80
0
06 Apr 2024
Evaluating Text-to-Visual Generation with Image-to-Text Generation
Evaluating Text-to-Visual Generation with Image-to-Text Generation
Zhiqiu Lin
Deepak Pathak
Baiqi Li
Jiayao Li
Xide Xia
Graham Neubig
Pengchuan Zhang
Deva Ramanan
EGVM
450
342
0
01 Apr 2024
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Patrick Esser
Sumith Kulal
A. Blattmann
Rahim Entezari
Jonas Muller
...
Zion English
Kyle Lacey
Alex Goodwin
Yannik Marek
Robin Rombach
DiffM
2.3K
2,724
0
05 Mar 2024
Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized
  Control
Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control
Masatoshi Uehara
Yulai Zhao
Kevin Black
Ehsan Hajiramezanali
Gabriele Scalia
N. Diamant
Alex Tseng
Tommaso Biancalani
Sergey Levine
273
83
0
23 Feb 2024
D-Flow: Differentiating through Flows for Controlled Generation
D-Flow: Differentiating through Flows for Controlled Generation
Heli Ben-Hamu
Omri Puny
Itai Gat
Brian Karrer
Uriel Singer
Y. Lipman
219
66
0
21 Feb 2024
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable
  Interpolant Transformers
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant TransformersEuropean Conference on Computer Vision (ECCV), 2024
Nanye Ma
Mark Goldstein
M. S. Albergo
Nicholas M. Boffi
Eric Vanden-Eijnden
Saining Xie
DiffM
372
423
0
16 Jan 2024
Using Human Feedback to Fine-tune Diffusion Models without Any Reward
  Model
Using Human Feedback to Fine-tune Diffusion Models without Any Reward ModelComputer Vision and Pattern Recognition (CVPR), 2023
Kai Yang
Jian Tao
Jiafei Lyu
Chunjiang Ge
Jiaxin Chen
Qimai Li
Weihan Shen
Xiaolong Zhu
Xiu Li
EGVM
491
185
0
22 Nov 2023
Diffusion Model Alignment Using Direct Preference Optimization
Diffusion Model Alignment Using Direct Preference OptimizationComputer Vision and Pattern Recognition (CVPR), 2023
Bram Wallace
Meihua Dang
Rafael Rafailov
Linqi Zhou
Aaron Lou
Senthil Purushwalkam
Stefano Ermon
Caiming Xiong
Shafiq Joty
Nikhil Naik
EGVM
448
512
0
21 Nov 2023
Bespoke Solvers for Generative Flow Models
Bespoke Solvers for Generative Flow ModelsInternational Conference on Learning Representations (ICLR), 2023
Neta Shaul
Juan C. Pérez
Ricky T. Q. Chen
Ali K. Thabet
Albert Pumarola
Y. Lipman
235
33
0
29 Oct 2023
Aligning Text-to-Image Diffusion Models with Reward Backpropagation
Aligning Text-to-Image Diffusion Models with Reward Backpropagation
Mihir Prabhudesai
Anirudh Goyal
Deepak Pathak
Katerina Fragkiadaki
468
204
0
05 Oct 2023
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
Directly Fine-Tuning Diffusion Models on Differentiable RewardsInternational Conference on Learning Representations (ICLR), 2023
Amita Gajewar
Paul Vicol
G. Bansal
David J Fleet
267
299
0
29 Sep 2023
RealFill: Reference-Driven Generation for Authentic Image Completion
RealFill: Reference-Driven Generation for Authentic Image CompletionACM Transactions on Graphics (TOG), 2023
Luming Tang
Nataniel Ruiz
Qinghao Chu
Yuanzhen Li
Aleksander Holynski
...
Bharath Hariharan
Yael Pritch
Neal Wadhwa
Kfir Aberman
Michael Rubinstein
DiffM
243
62
0
28 Sep 2023
Qwen Technical Report
Qwen Technical Report
Jinze Bai
Shuai Bai
Yunfei Chu
Zeyu Cui
Kai Dang
...
Zhenru Zhang
Chang Zhou
Jingren Zhou
Xiaohuan Zhou
Tianhang Zhu
OSLM
797
3,067
0
28 Sep 2023
InstaFlow: One Step is Enough for High-Quality Diffusion-Based
  Text-to-Image Generation
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image GenerationInternational Conference on Learning Representations (ICLR), 2023
Xingchao Liu
Xiwen Zhang
Jianzhu Ma
Jian Peng
Qiang Liu
591
308
0
12 Sep 2023
Monte Carlo guided Diffusion for Bayesian linear inverse problems
Monte Carlo guided Diffusion for Bayesian linear inverse problems
Gabriel Victorino Cardoso
Yazid Janati
Sylvain Le Corff
Eric Moulines
DiffM
261
51
0
15 Aug 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron
Louis Martin
Kevin R. Stone
Peter Albert
Amjad Almahairi
...
Sharan Narang
Aurelien Rodriguez
Robert Stojnic
Sergey Edunov
Thomas Scialom
AI4MHALM
8.1K
15,302
0
18 Jul 2023
Practical and Asymptotically Exact Conditional Sampling in Diffusion
  Models
Practical and Asymptotically Exact Conditional Sampling in Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023
Luhuan Wu
Brian L. Trippe
C. A. Naesseth
David M. Blei
John P. Cunningham
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293
158
0
30 Jun 2023
Restart Sampling for Improving Generative Processes
Restart Sampling for Improving Generative ProcessesNeural Information Processing Systems (NeurIPS), 2023
Yilun Xu
Mingyang Deng
Xiang Cheng
Yonglong Tian
Ziming Liu
Tommi Jaakkola
DiffMVLM
303
76
0
26 Jun 2023
On Kinetic Optimal Probability Paths for Generative Models
On Kinetic Optimal Probability Paths for Generative ModelsInternational Conference on Machine Learning (ICML), 2023
Neta Shaul
Ricky T. Q. Chen
Maximilian Nickel
Matt Le
Y. Lipman
OT
188
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11 Jun 2023
Direct Preference Optimization: Your Language Model is Secretly a Reward
  Model
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Archit Sharma
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Stefano Ermon
Christopher D. Manning
Chelsea Finn
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Training Diffusion Models with Reinforcement Learning
Training Diffusion Models with Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2023
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Michael Janner
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Ilya Kostrikov
Sergey Levine
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InstructBLIP: Towards General-purpose Vision-Language Models with
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Junnan Li
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Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image
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Adam Polyak
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Shahbuland Matiana
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ImageReward: Learning and Evaluating Human Preferences for Text-to-Image
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Jiazheng Xu
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Yuchen Wu
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Nikhila Ravi
Hanzi Mao
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Alexander C. Berg
Wan-Yen Lo
Piotr Dollár
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MLLMVLM
960
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Human Preference Score: Better Aligning Text-to-Image Models with Human
  Preference
Human Preference Score: Better Aligning Text-to-Image Models with Human PreferenceIEEE International Conference on Computer Vision (ICCV), 2023
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Keqiang Sun
Feng Zhu
Rui Zhao
Jiaming Song
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End-to-End Diffusion Latent Optimization Improves Classifier Guidance
End-to-End Diffusion Latent Optimization Improves Classifier GuidanceIEEE International Conference on Computer Vision (ICCV), 2023
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Akash Gokul
Stefano Ermon
Nikhil Naik
459
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FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model
FreeDoM: Training-Free Energy-Guided Conditional Diffusion ModelIEEE International Conference on Computer Vision (ICCV), 2023
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Yinhuai Wang
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Jian Zhang
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