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Understanding Diffusion Objectives as the ELBO with Simple Data
  Augmentation
v1v2v3v4v5v6v7 (latest)

Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation

Neural Information Processing Systems (NeurIPS), 2023
1 March 2023
Diederik P. Kingma
Ruiqi Gao
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation"

50 / 149 papers shown
Title
GuidNoise: Single-Pair Guided Diffusion for Generalized Noise Synthesis
GuidNoise: Single-Pair Guided Diffusion for Generalized Noise Synthesis
Changjin Kim
HyeokJun Lee
YoungJoon Yoo
DiffM
116
0
0
04 Dec 2025
DisMo: Disentangled Motion Representations for Open-World Motion Transfer
DisMo: Disentangled Motion Representations for Open-World Motion Transfer
Thomas Ressler-Antal
Frank Fundel
Malek Ben Alaya
S. A. Baumann
Felix Krause
Ming Gui
Bjorn Ommer
DiffMVGen
89
0
0
28 Nov 2025
PixelDiT: Pixel Diffusion Transformers for Image Generation
PixelDiT: Pixel Diffusion Transformers for Image Generation
Yongsheng Yu
Wei Xiong
Weili Nie
Yichen Sheng
Shiqiu Liu
Jiebo Luo
248
0
0
25 Nov 2025
Demystifying Diffusion Objectives: Reweighted Losses are Better Variational Bounds
Demystifying Diffusion Objectives: Reweighted Losses are Better Variational Bounds
Jiaxin Shi
Michalis K. Titsias
DiffM
254
0
0
24 Nov 2025
DiP: Taming Diffusion Models in Pixel Space
DiP: Taming Diffusion Models in Pixel Space
Z. Chen
J. Zhu
Xu Chen
Jiangning Zhang
Xiaobin Hu
Hanzhen Zhao
C. Wang
Jian Yang
Ying Tai
256
0
0
24 Nov 2025
Terminal Velocity Matching
Terminal Velocity Matching
Linqi Zhou
Mathias Parger
Ayaan Haque
Jiaming Song
33
0
0
24 Nov 2025
CADTrack: Learning Contextual Aggregation with Deformable Alignment for Robust RGBT Tracking
CADTrack: Learning Contextual Aggregation with Deformable Alignment for Robust RGBT Tracking
Hao Li
Yuhao Wang
X. Hu
Wenning Hao
P. Zhang
D. Wang
Huchuan Lu
116
0
0
22 Nov 2025
$π^{*}_{0.6}$: a VLA That Learns From Experience
π0.6∗π^{*}_{0.6}π0.6∗​: a VLA That Learns From Experience
Physical Intelligence
Ali Amin
Raichelle Aniceto
Ashwin Balakrishna
Kevin Black
...
Blake Williams
Sukwon Yoo
Lili Yu
Ury Zhilinsky
Zhiyuan Zhou
OffRLVLM
779
14
0
18 Nov 2025
Enhancing Diffusion Model Guidance through Calibration and Regularization
Enhancing Diffusion Model Guidance through Calibration and Regularization
Seyed Alireza Javid
Amirhossein Bagheri
Nuria González-Prelcic
174
0
0
08 Nov 2025
Energy Loss Functions for Physical Systems
Energy Loss Functions for Physical Systems
Sékou-Oumar Kaba
Kusha Sareen
Daniel Levy
Siamak Ravanbakhsh
PINNAI4CE
254
0
0
03 Nov 2025
Diffusion-Driven Generation of Minimally Preprocessed Brain MRI
Diffusion-Driven Generation of Minimally Preprocessed Brain MRI
Samuel W. Remedios
A. Carass
Jerry L. Prince
Blake E. Dewey
DiffMMedIm
104
0
0
29 Oct 2025
The Generation Phases of Flow Matching: a Denoising Perspective
The Generation Phases of Flow Matching: a Denoising Perspective
Anne Gagneux
Ségolène Martin
Rémi Gribonval
Mathurin Massias
80
1
0
28 Oct 2025
Blockwise Flow Matching: Improving Flow Matching Models For Efficient High-Quality Generation
Blockwise Flow Matching: Improving Flow Matching Models For Efficient High-Quality Generation
Dogyun Park
Taehoon Lee
Minseok Joo
Hyunwoo J. Kim
110
0
0
24 Oct 2025
Nonparametric Data Attribution for Diffusion Models
Nonparametric Data Attribution for Diffusion Models
Yutian Zhao
C. Du
Xiaosen Zheng
Tianyu Pang
Min Lin
TDIDiffM
215
0
0
16 Oct 2025
There is No VAE: End-to-End Pixel-Space Generative Modeling via Self-Supervised Pre-training
There is No VAE: End-to-End Pixel-Space Generative Modeling via Self-Supervised Pre-training
Jiachen Lei
Keli Liu
Julius Berner
Haiming Yu
Hongkai Zheng
Jiahong Wu
Xiangxiang Chu
DiffM
257
2
0
14 Oct 2025
LayerSync: Self-aligning Intermediate Layers
LayerSync: Self-aligning Intermediate Layers
Yasaman Haghighi
B. V. Delft
Mariam Hassan
Alexandre Alahi
115
0
0
14 Oct 2025
Robust Learning of Diffusion Models with Extremely Noisy Conditions
Robust Learning of Diffusion Models with Extremely Noisy Conditions
Xin Chen
Gillian Dobbie
Xinyu Wang
Yifan Zhang
D. Wang
Jingfeng Zhang
DiffM
132
0
0
11 Oct 2025
RLFR: Extending Reinforcement Learning for LLMs with Flow Environment
RLFR: Extending Reinforcement Learning for LLMs with Flow Environment
Jinghao Zhang
Naishan Zheng
Ruilin Li
Dongzhou Cheng
Zheming Liang
Feng Zhao
Jiaqi Wang
133
0
0
11 Oct 2025
Ctrl-VI: Controllable Video Synthesis via Variational Inference
Ctrl-VI: Controllable Video Synthesis via Variational Inference
Haoyi Duan
Yunzhi Zhang
Yilun Du
Jiajun Wu
DiffMVGen
129
0
0
09 Oct 2025
Next Semantic Scale Prediction via Hierarchical Diffusion Language Models
Next Semantic Scale Prediction via Hierarchical Diffusion Language Models
Cai Zhou
Chenyu Wang
Dinghuai Zhang
Shangyuan Tong
Yifei Wang
Stephen Bates
Tommi Jaakkola
128
0
0
08 Oct 2025
SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization
SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization
Théophane Vallaeys
Jakob Verbeek
Matthieu Cord
DiffM
226
3
0
06 Oct 2025
Scaling Sequence-to-Sequence Generative Neural Rendering
Scaling Sequence-to-Sequence Generative Neural Rendering
Shikun Liu
Kam Woh Ng
Wonbong Jang
Jiadong Guo
Junlin Han
...
Juan C. Pérez
Zijian Zhou
Chi Phung
Tao Xiang
Juan-Manuel Perez-Rua
VGen
113
0
0
05 Oct 2025
Equilibrium Matching: Generative Modeling with Implicit Energy-Based Models
Equilibrium Matching: Generative Modeling with Implicit Energy-Based Models
Runqian Wang
Yilun Du
DiffM
881
3
0
02 Oct 2025
Learn to Guide Your Diffusion Model
Learn to Guide Your Diffusion Model
Alexandre Galashov
Ashwini Pokle
Arnaud Doucet
Arthur Gretton
Mauricio Delbracio
Valentin De Bortoli
DiffM
437
0
0
01 Oct 2025
Advantage Weighted Matching: Aligning RL with Pretraining in Diffusion Models
Advantage Weighted Matching: Aligning RL with Pretraining in Diffusion Models
Shuchen Xue
Chongjian Ge
Shilong Zhang
Yichen Li
Zhi-Ming Ma
131
2
0
29 Sep 2025
From Code to Action: Hierarchical Learning of Diffusion-VLM Policies
From Code to Action: Hierarchical Learning of Diffusion-VLM Policies
Markus Peschl
Pietro Mazzaglia
Daniel Dijkman
104
0
0
29 Sep 2025
Training Agents Inside of Scalable World Models
Training Agents Inside of Scalable World Models
Danijar Hafner
Wilson Yan
Timothy Lillicrap
VGen
192
20
0
29 Sep 2025
Score Distillation of Flow Matching Models
Score Distillation of Flow Matching Models
Mingyuan Zhou
Yi Gu
Huangjie Zheng
Liangchen Song
Guande He
Y. Zhang
Wenze Hu
Yinfei Yang
DiffM
185
0
0
29 Sep 2025
OAT-FM: Optimal Acceleration Transport for Improved Flow Matching
OAT-FM: Optimal Acceleration Transport for Improved Flow Matching
Angxiao Yue
Anqi Dong
Hongteng Xu
OT
344
1
0
29 Sep 2025
Diffusion Models are Kelly Gamblers
Diffusion Models are Kelly Gamblers
Akhil Premkumar
DiffM
250
0
0
28 Sep 2025
No Alignment Needed for Generation: Learning Linearly Separable Representations in Diffusion Models
No Alignment Needed for Generation: Learning Linearly Separable Representations in Diffusion Models
Junno Yun
Yasar Utku Alçalar
Mehmet Akçakaya
113
1
0
25 Sep 2025
WorldForge: Unlocking Emergent 3D/4D Generation in Video Diffusion Model via Training-Free Guidance
WorldForge: Unlocking Emergent 3D/4D Generation in Video Diffusion Model via Training-Free Guidance
Chenxi Song
Yanming Yang
Tong Zhao
Ruibo Li
Chi Zhang
VGen
257
4
0
18 Sep 2025
SpeechOp: Inference-Time Task Composition for Generative Speech Processing
SpeechOp: Inference-Time Task Composition for Generative Speech Processing
Justin Lovelace
Rithesh Kumar
Jiaqi Su
Ke Chen
Kilian Q. Weinberger
Zeyu Jin
DiffMVLM
231
0
0
17 Sep 2025
Novel View Synthesis using DDIM Inversion
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Sehajdeep SIngh
A V Subramanyam
Aditya Gupta
Sahil Gupta
DiffM
91
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0
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Score Augmentation for Diffusion Models
Score Augmentation for Diffusion Models
Liang Hou
Yuan Gao
Boyuan Jiang
Xin Tao
Qi Yan
Renjie Liao
Pengfei Wan
Di Zhang
Kun Gai
DiffM
125
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0
11 Aug 2025
PixNerd: Pixel Neural Field Diffusion
PixNerd: Pixel Neural Field Diffusion
Shuai Wang
Ziteng Gao
Chenhui Zhu
Weilin Huang
Limin Wang
DiffM
210
16
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Flow Matching Policy Gradients
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Songwei Ge
Brent Yi
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Ethan Weber
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Angjoo Kanazawa
262
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Improving Multislice Electron Ptychography with a Generative Prior
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Justin Lovelace
Kilian Q. Weinberger
David A. Muller
Daniel Schwalbe-Koda
DiffMMedIm
274
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SADA: Stability-guided Adaptive Diffusion Acceleration
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DiffM
125
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Latent Denoising Makes Good Visual Tokenizers
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177
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Mamba3DH
154
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Learning Diffusion Models with Flexible Representation Guidance
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Zongyu Lin
Stefanie Jegelka
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Tommi Jaakkola
122
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QR-LoRA: Efficient and Disentangled Fine-tuning via QR Decomposition for Customized Generation
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Yongjia Ma
Donglin Di
Hao Li
Wei Chen
Yan Xie
Jianxun Cui
Xun Yang
W. Zuo
MoMe
288
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Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think
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Shen Zhang
Ruijing Shi
Shanghua Gao
Zhenyuan Chen
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Jian Yang
Ming-Ming Cheng
X. Li
308
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TADA: Improved Diffusion Sampling with Training-free Augmented Dynamics
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Huangjie Zheng
David Berthelot
Jiatao Gu
J. Susskind
Shuangfei Zhai
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178
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On Convolutions, Intrinsic Dimension, and Diffusion Models
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Rasa Hosseinzadeh
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168
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Fast and Stable Diffusion Planning through Variational Adaptive Weighting
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Tao Lin
DiffMOffRL
181
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Improving Rectified Flow with Boundary Conditions
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Hongliang Fei
Qiang Liu
202
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Sampling 3D Molecular Conformers with Diffusion Transformers
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Stefan Chmiela
274
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FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space
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334
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123
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