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Model Already Knows the Best Noise: Bayesian Active Noise Selection via Attention in Video Diffusion Model

23 May 2025
Kwanyoung Kim
Sanghyun Kim
    DiffMVGen
ArXiv (abs)PDFHTMLHuggingFace (31 upvotes)

Papers citing "Model Already Knows the Best Noise: Bayesian Active Noise Selection via Attention in Video Diffusion Model"

36 / 36 papers shown
Title
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian NoiseInternational Conference on Learning Representations (ICLR), 2025
Yunlong Yuan
Yuanfan Guo
Chunwei Wang
Wei Zhang
Hang Xu
L. Zhang
DiffMVGen
544
4
0
20 Feb 2025
LTX-Video: Realtime Video Latent Diffusion
Yoav HaCohen
Nisan Chiprut
Benny Brazowski
Daniel Shalem
Dudu Moshe
...
Sapir Weissbuch
Victor Kulikov
Yaki Bitterman
Zeev Melumian
Ofir Bibi
VGen
639
211
0
03 Jan 2025
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Bradley Brown
Jordan Juravsky
Ryan Ehrlich
Ronald Clark
Quoc V. Le
Christopher Ré
Azalia Mirhoseini
ALMLRM
888
561
0
03 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
626
454
0
31 Dec 2024
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion
  Transformers
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers
Enze Xie
Junsong Chen
Junyu Chen
Han Cai
Haotian Tang
...
Zhekai Zhang
Zhekai Zhang
Ligeng Zhu
Yaojie Lu
Song Han
VLM
271
183
0
14 Oct 2024
CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
CogVideoX: Text-to-Video Diffusion Models with An Expert TransformerInternational Conference on Learning Representations (ICLR), 2024
Zhuoyi Yang
Jiayan Teng
Wendi Zheng
Ming Ding
Shiyu Huang
...
Weihan Wang
Yean Cheng
Xiaotao Gu
Yuxiao Dong
Jie Tang
DiffMVGen
819
1,229
0
12 Aug 2024
Scaling LLM Test-Time Compute Optimally can be More Effective than
  Scaling Model Parameters
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Charlie Snell
Jaehoon Lee
Kelvin Xu
Aviral Kumar
LRM
594
1,251
0
06 Aug 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
306
63
0
06 Jun 2024
Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models
Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion ModelsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Katherine Xu
Lingzhi Zhang
Jianbo Shi
390
28
0
23 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
283
78
0
06 Apr 2024
PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K
  Text-to-Image Generation
PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image GenerationEuropean Conference on Computer Vision (ECCV), 2024
Junsong Chen
Chongjian Ge
Enze Xie
Yue Wu
Lewei Yao
Xiaozhe Ren
Zhongdao Wang
Ping Luo
Huchuan Lu
Zhenguo Li
748
204
0
07 Mar 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
1.8K
2,619
0
05 Mar 2024
VideoCrafter2: Overcoming Data Limitations for High-Quality Video
  Diffusion Models
VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2024
Haoxin Chen
Yong Zhang
Xiaodong Cun
Menghan Xia
Xintao Wang
Chao-Liang Weng
Ying Shan
VGenDiffM
401
480
0
17 Jan 2024
FreeInit: Bridging Initialization Gap in Video Diffusion Models
FreeInit: Bridging Initialization Gap in Video Diffusion ModelsEuropean Conference on Computer Vision (ECCV), 2023
Tianxing Wu
Chenyang Si
Yuming Jiang
Ziqi Huang
Ziwei Liu
DiffMVGen
196
74
0
12 Dec 2023
VBench: Comprehensive Benchmark Suite for Video Generative Models
VBench: Comprehensive Benchmark Suite for Video Generative ModelsComputer Vision and Pattern Recognition (CVPR), 2023
Ziqi Huang
Yinan He
Jiashuo Yu
Fan Zhang
Chenyang Si
...
Xinyuan Chen
Limin Wang
Dahua Lin
Yu Qiao
Ziwei Liu
VGen
430
910
0
29 Nov 2023
FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling
FreeNoise: Tuning-Free Longer Video Diffusion via Noise ReschedulingInternational Conference on Learning Representations (ICLR), 2023
Haonan Qiu
Menghan Xia
Yong Zhang
Yin-Yin He
Xintao Wang
Ying Shan
Ziwei Liu
DiffMVGen
230
147
0
23 Oct 2023
LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion
  Models
LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion ModelsInternational Journal of Computer Vision (IJCV), 2023
Yaohui Wang
Xinyuan Chen
Xin Ma
Shangchen Zhou
Ziqi Huang
...
Chen Change Loy
Bo Dai
Dahua Lin
Yu Qiao
Ziwei Liu
VGenDiffM
204
310
0
26 Sep 2023
ModelScope Text-to-Video Technical Report
ModelScope Text-to-Video Technical Report
Jiuniu Wang
Hangjie Yuan
Dayou Chen
Yingya Zhang
Xiang Wang
Shiwei Zhang
VGenDiffM
316
584
0
12 Aug 2023
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models
  without Specific Tuning
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific TuningInternational Conference on Learning Representations (ICLR), 2023
Yuwei Guo
Ceyuan Yang
Anyi Rao
Zhengyang Liang
Yaohui Wang
Yu Qiao
Maneesh Agrawala
Dahua Lin
Bo Dai
VGen
896
1,249
0
10 Jul 2023
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models
Preserve Your Own Correlation: A Noise Prior for Video Diffusion ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Songwei Ge
Seungjun Nah
Guilin Liu
Tyler Poon
Andrew Tao
Bryan Catanzaro
David Jacobs
Jia-Bin Huang
Ming-Yuan Liu
Yogesh Balaji
DiffMVGen
281
295
0
17 May 2023
Align your Latents: High-Resolution Video Synthesis with Latent
  Diffusion Models
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2023
A. Blattmann
Robin Rombach
Huan Ling
Tim Dockhorn
Seung Wook Kim
Sanja Fidler
Karsten Kreis
3DGSVGen
598
1,402
0
18 Apr 2023
Latent Video Diffusion Models for High-Fidelity Long Video Generation
Latent Video Diffusion Models for High-Fidelity Long Video Generation
Yin-Yin He
Tianyu Yang
Yong Zhang
Ying Shan
Qifeng Chen
DiffMVGen
202
337
0
23 Nov 2022
CogVideo: Large-scale Pretraining for Text-to-Video Generation via
  Transformers
CogVideo: Large-scale Pretraining for Text-to-Video Generation via TransformersInternational Conference on Learning Representations (ICLR), 2022
Wenyi Hong
Ming Ding
Wendi Zheng
Xinghan Liu
Jie Tang
DiffM
648
875
0
29 May 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2021
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
DiffM
1.8K
20,624
0
20 Dec 2021
Noise2Score: Tweedie's Approach to Self-Supervised Image Denoising
  without Clean Images
Noise2Score: Tweedie's Approach to Self-Supervised Image Denoising without Clean ImagesNeural Information Processing Systems (NeurIPS), 2021
Kwanyoung Kim
Jong Chul Ye
DiffM
202
132
0
13 Jun 2021
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential EquationsInternational Conference on Learning Representations (ICLR), 2020
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffMSyDa
1.4K
8,662
0
26 Nov 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit ModelsInternational Conference on Learning Representations (ICLR), 2020
Jiaming Song
Chenlin Meng
Stefano Ermon
VLMDiffM
1.3K
10,000
0
06 Oct 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
4.4K
25,188
0
19 Jun 2020
Task-Aware Variational Adversarial Active Learning
Task-Aware Variational Adversarial Active LearningComputer Vision and Pattern Recognition (CVPR), 2020
Kwanyoung Kim
Dongwon Park
K. Kim
S. Chun
VLMOOD
129
170
0
11 Feb 2020
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian
  Active Learning
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active LearningNeural Information Processing Systems (NeurIPS), 2019
Andreas Kirsch
Joost R. van Amersfoort
Y. Gal
FedML
330
699
0
19 Jun 2019
Learning Loss for Active Learning
Learning Loss for Active LearningComputer Vision and Pattern Recognition (CVPR), 2019
Donggeun Yoo
In So Kweon
UQCV
265
743
0
09 May 2019
Bayesian Generative Active Deep Learning
Bayesian Generative Active Deep Learning
Toan M. Tran
Thanh-Toan Do
Ian Reid
G. Carneiro
167
146
0
26 Apr 2019
Variational Adversarial Active Learning
Variational Adversarial Active Learning
Samarth Sinha
Sayna Ebrahimi
Trevor Darrell
GANDRLVLMSSL
475
634
0
31 Mar 2019
Deep Bayesian Active Learning with Image Data
Deep Bayesian Active Learning with Image Data
Y. Gal
Riashat Islam
Zoubin Ghahramani
BDLUQCV
425
1,872
0
08 Mar 2017
Hierarchical Subquery Evaluation for Active Learning on a Graph
Hierarchical Subquery Evaluation for Active Learning on a Graph
Oisin Mac Aodha
Neill D. F. Campbell
Jan Kautz
Gabriel J. Brostow
122
107
0
30 Apr 2015
Bayesian Active Learning for Classification and Preference Learning
Bayesian Active Learning for Classification and Preference Learning
N. Houlsby
Ferenc Huszár
Zoubin Ghahramani
M. Lengyel
445
1,007
0
24 Dec 2011
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