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From Pixels to Graphs: using Scene and Knowledge Graphs for HD-EPIC VQA Challenge

10 June 2025
Agnese Taluzzi
Davide Gesualdi
Riccardo Santambrogio
Chiara Plizzari
Francesca Palermo
S. Mentasti
Matteo Matteucci
    GNN
ArXiv (abs)PDFHTML

Papers citing "From Pixels to Graphs: using Scene and Knowledge Graphs for HD-EPIC VQA Challenge"

49 / 49 papers shown
Title
EquiReg: Equivariance Regularized Diffusion for Inverse Problems
EquiReg: Equivariance Regularized Diffusion for Inverse Problems
Bahareh Tolooshams
Aditi Chandrashekar
Rayhan Zirvi
Abbas Mammadov
Jiachen Yao
Chuwei Wang
Anima Anandkumar
DiffM
38
0
0
29 May 2025
Split Gibbs Discrete Diffusion Posterior Sampling
Split Gibbs Discrete Diffusion Posterior Sampling
Wenda Chu
Zihui Wu
Yifan Chen
Yang Song
Yisong Yue
70
2
0
03 Mar 2025
VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models
Taesung Kwon
Jong Chul Ye
128
0
0
29 Nov 2024
Improved Video VAE for Latent Video Diffusion Model
Improved Video VAE for Latent Video Diffusion Model
Pingyu Wu
Kai Zhu
Yu Liu
Liming Zhao
Wei-dong Zhai
Yang Cao
Zheng-jun Zha
VGenDiffM
70
5
0
10 Nov 2024
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion
  Models
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models
Giannis Daras
Weili Nie
Karsten Kreis
A. Dimakis
Morteza Mardani
Nikola B. Kovachki
Arash Vahdat
DiffM
72
10
0
21 Oct 2024
Configurable Multilingual ASR with Speech Summary Representations
Configurable Multilingual ASR with Speech Summary Representations
Harrison Zhu
Ivan Fung
Yingke Zhu
Lahiru Samarakoon
70
0
0
06 Oct 2024
Solving Video Inverse Problems Using Image Diffusion Models
Solving Video Inverse Problems Using Image Diffusion Models
Taesung Kwon
Jong Chul Ye
DiffM
83
2
0
04 Sep 2024
OD-VAE: An Omni-dimensional Video Compressor for Improving Latent Video
  Diffusion Model
OD-VAE: An Omni-dimensional Video Compressor for Improving Latent Video Diffusion Model
Liuhan Chen
Zongjian Li
Bin Lin
Bin Zhu
Qian Wang
Shenghai Yuan
X. Zhou
Xinhua Cheng
Li Yuan
DiffM
149
14
0
02 Sep 2024
Improving Diffusion Inverse Problem Solving with Decoupled Noise
  Annealing
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
Bingliang Zhang
Wenda Chu
Julius Berner
Chenlin Meng
Anima Anandkumar
Yang Song
DiffM
81
43
0
01 Jul 2024
DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration Models
DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration Models
Chang-Han Yeh
Chin-Yang Lin
Zhixiang Wang
Chi-Wei Hsiao
Ting-Hsuan Chen
Hau-Shiang Shiu
Yu-Lun Liu
VGenDiffM
116
5
0
01 Jul 2024
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play
  Priors
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors
Zihui Wu
Yu Sun
Yifan Chen
Bingliang Zhang
Yisong Yue
Katherine Bouman
DiffM
92
32
0
29 May 2024
Provably Robust Score-Based Diffusion Posterior Sampling for
  Plug-and-Play Image Reconstruction
Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction
Xingyu Xu
Yuejie Chi
DiffM
73
26
0
25 Mar 2024
Decoupled Data Consistency with Diffusion Purification for Image
  Restoration
Decoupled Data Consistency with Diffusion Purification for Image Restoration
Xiang Li
Soo Min Kwon
Ismail Alkhouri
S. Ravishankar
Qing Qu
DiffM
81
0
0
10 Mar 2024
Analyzing and Improving the Training Dynamics of Diffusion Models
Analyzing and Improving the Training Dynamics of Diffusion Models
Tero Karras
M. Aittala
J. Lehtinen
Janne Hellsten
Timo Aila
S. Laine
118
201
0
05 Dec 2023
FLAIR: A Conditional Diffusion Framework with Applications to Face Video
  Restoration
FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration
Zihao Zou
Jiaming Liu
Shirin Shoushtari
Yubo Wang
Weijie Gan
Ulugbek S. Kamilov
VGenDiffM
69
2
0
26 Nov 2023
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large
  Datasets
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
A. Blattmann
Tim Dockhorn
Sumith Kulal
Daniel Mendelevitch
Maciej Kilian
...
Zion English
Vikram S. Voleti
Adam Letts
Varun Jampani
Robin Rombach
VGen
263
1,170
0
25 Nov 2023
Provable Probabilistic Imaging using Score-Based Generative Priors
Provable Probabilistic Imaging using Score-Based Generative Priors
Yu Sun
Zihui Wu
Yifan Chen
Berthy Feng
Katherine Bouman
DiffM
58
33
0
16 Oct 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
59
32
0
15 Aug 2023
Solving Inverse Problems with Latent Diffusion Models via Hard Data
  Consistency
Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
Bowen Song
Soo Min Kwon
Zecheng Zhang
Xinyu Hu
Qing Qu
Liyue Shen
MedIm
104
116
0
16 Jul 2023
Solving Linear Inverse Problems Provably via Posterior Sampling with
  Latent Diffusion Models
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models
Litu Rout
Negin Raoof
Giannis Daras
Constantine Caramanis
A. Dimakis
Sanjay Shakkottai
DiffM
98
106
0
02 Jul 2023
Practical and Asymptotically Exact Conditional Sampling in Diffusion
  Models
Practical and Asymptotically Exact Conditional Sampling in Diffusion Models
Luhuan Wu
Brian L. Trippe
C. A. Naesseth
David M. Blei
John P. Cunningham
DiffM
100
98
0
30 Jun 2023
Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis
Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis
Zolnamar Dorjsembe
H. Pao
Sodtavilan Odonchimed
Furen Xiao
DiffMMedIm
52
45
0
29 May 2023
Denoising Diffusion Models for Plug-and-Play Image Restoration
Denoising Diffusion Models for Plug-and-Play Image Restoration
Yuanzhi Zhu
Peng Sun
Christos Sakaridis
Jingyun Liang
Bihan Wen
Radu Timofte
Luc Van Gool
DiffM
108
219
0
15 May 2023
A Variational Perspective on Solving Inverse Problems with Diffusion
  Models
A Variational Perspective on Solving Inverse Problems with Diffusion Models
Morteza Mardani
Jiaming Song
Jan Kautz
Arash Vahdat
DiffM
68
144
0
07 May 2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging
Score-Based Diffusion Models as Principled Priors for Inverse Imaging
Berthy Feng
Jamie Smith
Michael Rubinstein
Huiwen Chang
Katherine Bouman
William T. Freeman
DiffM
125
98
0
23 Apr 2023
Plug-and-Play split Gibbs sampler: embedding deep generative priors in
  Bayesian inference
Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference
Florentin Coeurdoux
N. Dobigeon
P. Chainais
50
19
0
21 Apr 2023
Align your Latents: High-Resolution Video Synthesis with Latent
  Diffusion Models
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
A. Blattmann
Robin Rombach
Huan Ling
Tim Dockhorn
Seung Wook Kim
Sanja Fidler
Karsten Kreis
3DGSVGen
196
1,092
0
18 Apr 2023
Scalable Diffusion Models with Transformers
Scalable Diffusion Models with Transformers
William S. Peebles
Saining Xie
GNN
95
2,386
0
19 Dec 2022
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
Yinhuai Wang
Jiwen Yu
Jian Zhang
DiffM
113
458
0
01 Dec 2022
Diffusion Posterior Sampling for General Noisy Inverse Problems
Diffusion Posterior Sampling for General Noisy Inverse Problems
Hyungjin Chung
Jeongsol Kim
Michael T. McCann
M. Klasky
J. C. Ye
DiffM
111
857
0
29 Sep 2022
Diffusion probabilistic modeling of protein backbones in 3D for the
  motif-scaffolding problem
Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem
Brian L. Trippe
Jason Yim
D. Tischer
D. Baker
Tamara Broderick
Regina Barzilay
Tommi Jaakkola
DiffM
74
237
0
08 Jun 2022
Elucidating the Design Space of Diffusion-Based Generative Models
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras
M. Aittala
Timo Aila
S. Laine
DiffM
201
1,981
0
01 Jun 2022
MR Image Denoising and Super-Resolution Using Regularized Reverse
  Diffusion
MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion
Hyungjin Chung
Eunha Lee
Jong Chul Ye
DiffMMedIm
71
118
0
23 Mar 2022
Denoising Diffusion Restoration Models
Denoising Diffusion Restoration Models
Bahjat Kawar
Michael Elad
Stefano Ermon
Jiaming Song
DiffM
275
842
0
27 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
460
15,665
0
20 Dec 2021
Vector Quantized Diffusion Model for Text-to-Image Synthesis
Vector Quantized Diffusion Model for Text-to-Image Synthesis
Shuyang Gu
Dong Chen
Jianmin Bao
Fang Wen
Bo Zhang
Dongdong Chen
Lu Yuan
B. Guo
DiffM
142
797
0
29 Nov 2021
Solving Inverse Problems in Medical Imaging with Score-Based Generative
  Models
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models
Yang Song
Liyue Shen
Lei Xing
Stefano Ermon
DiffMSyDaOffRLMedIm
95
532
0
15 Nov 2021
Score-based diffusion models for accelerated MRI
Score-based diffusion models for accelerated MRI
Hyungjin Chung
Jong Chul Ye
DiffMMedIm
99
423
0
08 Oct 2021
Robust Compressed Sensing MRI with Deep Generative Priors
Robust Compressed Sensing MRI with Deep Generative Priors
A. Jalal
Marius Arvinte
Giannis Daras
Eric Price
A. Dimakis
Jonathan I. Tamir
MedIm
87
339
0
03 Aug 2021
Taming Transformers for High-Resolution Image Synthesis
Taming Transformers for High-Resolution Image Synthesis
Patrick Esser
Robin Rombach
Bjorn Ommer
ViT
131
2,984
0
17 Dec 2020
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffMSyDa
344
6,551
0
26 Nov 2020
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal
  Solution Characterization for Computational Imaging
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging
He Sun
Katherine Bouman
UQCV
47
74
0
27 Oct 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
650
18,276
0
19 Jun 2020
Improved Techniques for Training Score-Based Generative Models
Improved Techniques for Training Score-Based Generative Models
Yang Song
Stefano Ermon
DiffM
258
1,161
0
16 Jun 2020
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDaDiffM
258
3,916
0
12 Jul 2019
Towards Accurate Generative Models of Video: A New Metric & Challenges
Towards Accurate Generative Models of Video: A New Metric & Challenges
Thomas Unterthiner
Sjoerd van Steenkiste
Karol Kurach
Raphaël Marinier
Marcin Michalski
Sylvain Gelly
EGVMVGen
91
737
0
03 Dec 2018
Understanding disentangling in $β$-VAE
Understanding disentangling in βββ-VAE
Christopher P. Burgess
I. Higgins
Arka Pal
Loic Matthey
Nicholas Watters
Guillaume Desjardins
Alexander Lerchner
CoGeDRL
68
831
0
10 Apr 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
377
11,877
0
11 Jan 2018
Reconstructing Video from Interferometric Measurements of Time-Varying
  Sources
Reconstructing Video from Interferometric Measurements of Time-Varying Sources
Katherine Bouman
Michael D. Johnson
Adrian Dalca
A. Chael
F. Roelofs
S. Doeleman
William T. Freeman
35
10
0
03 Nov 2017
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