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Opening Remarks
Fri Dec 15 06:50 AM -- 07:00 AM (PST) None
Opening Remarks
In NeurIPS 2023 Workshop on Diffusion Models
Keynote
Fri Dec 15 07:00 AM -- 07:30 AM (PST) None
Tali Dekel: Pretrained diffusion is all we need: a journey beyond training distribution
In NeurIPS 2023 Workshop on Diffusion Models
Keynote
Fri Dec 15 07:30 AM -- 08:00 AM (PST) None
Brian Trippe & Jason Yim: De novo design of protein structure and function with RFdiffusion
In NeurIPS 2023 Workshop on Diffusion Models
Break
Fri Dec 15 08:00 AM -- 08:15 AM (PST) None
Coffee Break
In NeurIPS 2023 Workshop on Diffusion Models
Poster session
Fri Dec 15 08:15 AM -- 09:15 AM (PST) None
Poster Session 1
In NeurIPS 2023 Workshop on Diffusion Models
Panel Discussion
Fri Dec 15 09:15 AM -- 10:00 AM (PST) None
Panel Discussion: Arash Vahdat, Ruiqi Gao, Tim Salimans, Robin Rombach
In NeurIPS 2023 Workshop on Diffusion Models
Break
Fri Dec 15 10:00 AM -- 11:30 AM (PST) None
Lunch
In NeurIPS 2023 Workshop on Diffusion Models
Keynote
Fri Dec 15 11:30 AM -- 12:00 PM (PST) None
Sayak Paul: Controlling Text-to-Image Diffusion Models
In NeurIPS 2023 Workshop on Diffusion Models
Keynote
Fri Dec 15 12:00 PM -- 12:30 PM (PST) None
Yang Song: Consistency Models
In NeurIPS 2023 Workshop on Diffusion Models
Oral
Fri Dec 15 12:30 PM -- 12:40 PM (PST) None
LC-SD: Realistic Endoscopic Image Generation with Stable Diffusion and ControlNet
In NeurIPS 2023 Workshop on Diffusion Models
Joanna Kaleta · Diego Dall'Alba · Szymon Plotka · Przemyslaw Korzeniowski
[ OpenReview] 
Oral
Fri Dec 15 12:40 PM -- 12:50 PM (PST) None
Manifold Diffusion Fields
In NeurIPS 2023 Workshop on Diffusion Models
Ahmed Elhag · Yuyang Wang · Joshua Susskind · Miguel Angel Bautista
[ OpenReview] 
Oral
Fri Dec 15 12:50 PM -- 01:00 PM (PST) None
The Emergence of Reproducibility and Consistency in Diffusion Models
In NeurIPS 2023 Workshop on Diffusion Models
Huijie Zhang · Jinfan Zhou · Yifu Lu · Minzhe Guo · Liyue Shen · Qing Qu
[ OpenReview] 
Break
Fri Dec 15 01:00 PM -- 01:15 PM (PST) None
Coffee Break
In NeurIPS 2023 Workshop on Diffusion Models
Lightning Talks
Fri Dec 15 01:15 PM -- 02:15 PM (PST) None
Invited Lightning Talks
In NeurIPS 2023 Workshop on Diffusion Models
Poster Session
Fri Dec 15 02:15 PM -- 03:15 PM (PST) None
Poster Session 2
In NeurIPS 2023 Workshop on Diffusion Models
Closing Remarks
Fri Dec 15 03:15 PM -- 03:30 PM (PST) None
Closing Remarks + Award Reveal
In NeurIPS 2023 Workshop on Diffusion Models
None
Adversarial Estimation of Topological Dimension with Harmonic Score Maps
In NeurIPS 2023 Workshop on Diffusion Models
Eric Yeats · Cameron Darwin · Frank Liu · Hai Li
[ Slides]  [ Poster]  [ OpenReview] 
None
DiffusionShield: A Watermark for Data Copyright Protection against Generative Diffusion Models
In NeurIPS 2023 Workshop on Diffusion Models
Yingqian Cui · Jie Ren · Han Xu · Pengfei He · Hui Liu · Lichao Sun · Yue XING · Jiliang Tang
[ OpenReview] 
None
VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing
In NeurIPS 2023 Workshop on Diffusion Models
Paul Couairon · Clément Rambour · Jean-Emmanuel HAUGEARD · Nicolas THOME
[ Poster]  [ OpenReview] 
None
The Hidden Linear Structure in Score-Based Models and its Application
In NeurIPS 2023 Workshop on Diffusion Models
Binxu Wang · John Vastola
[ OpenReview] 
None
Discrete Diffusion Language Modeling by Estimating the Ratios of the Data Distribution
In NeurIPS 2023 Workshop on Diffusion Models
Aaron Lou · Chenlin Meng · Stefano Ermon
[ OpenReview] 
None
Motion Flow Matching for Efficient Human Motion Synthesis and Editing
In NeurIPS 2023 Workshop on Diffusion Models
TAO HU · Wenzhe Yin · Pingchuan Ma · Yunlu Chen · Basura Fernando · Yuki M M Asano · Efstratios Gavves · Pascal Mettes · Björn Ommer · Cees Snoek
[ OpenReview] 
None
TS-DiffuGen: An equivariant diffusion model for reaction transition state conformation generation
In NeurIPS 2023 Workshop on Diffusion Models
Sacha Raffaud · Jeff Guo · Philippe Schwaller
[ Poster]  [ OpenReview] 
None
CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images
In NeurIPS 2023 Workshop on Diffusion Models
Aaron Gokaslan · A. Feder Cooper · Jasmine Collins · Landan Seguin · Austin Jacobson · Mihir Patel · Jonathan Frankle · Cory Stephenson · Volodymyr Kuleshov
[ Poster]  [ OpenReview] 
None
A Denoising Diffusion Model for Synthetic Fluid Field Prediction
In NeurIPS 2023 Workshop on Diffusion Models
Gefan Yang · Stefan Sommer
[ OpenReview] 
None
Diffusion Models With Learned Adaptive Noise Processes
In NeurIPS 2023 Workshop on Diffusion Models
Subham Sahoo · Aaron Gokaslan · Christopher De Sa · Volodymyr Kuleshov
[ Poster]  [ OpenReview] 
None
Controllable Music Production with Diffusion Models and Guidance Gradients
In NeurIPS 2023 Workshop on Diffusion Models
Mark Levy · Bruno Di Giorgi · Floris Weers · Angelos Katharopoulos · Tom R Nickson
[ Poster]  [ OpenReview] 
None
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model
In NeurIPS 2023 Workshop on Diffusion Models
Zibin Dong · Yifu Yuan · Jianye Hao · Fei Ni · Yao Mu · YAN ZHENG · Yujing Hu · Tangjie Lv · Changjie Fan · ZHIPENG HU
[ OpenReview] 
None
DFU: scale-robust diffusion model for zero-shot super-resolution image generation
In NeurIPS 2023 Workshop on Diffusion Models
Alexander Havrilla · Kevin Rojas · Wenjing Liao · Molei Tao
[ OpenReview] 
None
EDGE++: Improved Training and Sampling of EDGE
In NeurIPS 2023 Workshop on Diffusion Models
Xiaohui Chen · Mingyang Wu · Liping Liu
[ Poster]  [ OpenReview] 
None
Understanding Denoising Diffusion Probabilistic Models and their Noise Schedules via the Ornstein--Uhlenbeck Process
In NeurIPS 2023 Workshop on Diffusion Models
Javier E. Santos · Yen Ting Lin
[ OpenReview] 
None
TADA: Timestep-Aware Data Augmentation for Diffusion Models
In NeurIPS 2023 Workshop on Diffusion Models
NaHyeon Park · Kunhee Kim · Song Park · Jung-Woo Ha · Hyunjung Shim
[ OpenReview] 
None
Diffusion-C: Unveiling the Generative Challenges of Diffusion Models through Corrupted Data
In NeurIPS 2023 Workshop on Diffusion Models
Keywoong Bae · Suan Lee · Wookey Lee
[ Poster]  [ OpenReview] 
None
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models
In NeurIPS 2023 Workshop on Diffusion Models
Maitreya Patel · Tejas Gokhale · Chitta Baral · 'YZ' Yezhou Yang
[ OpenReview] 
None
WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models
In NeurIPS 2023 Workshop on Diffusion Models
Changhoon Kim · Kyle Min · Maitreya Patel · Sheng Cheng · 'YZ' Yezhou Yang
[ OpenReview] 
None
Diffusing More Objects for Semi-Supervised Domain Adaptation with Less Labeling
In NeurIPS 2023 Workshop on Diffusion Models
Leander van den Heuvel · Gertjan Burghouts · David Zhang · Gwenn Englebienne · Sabina van Rooij
[ Poster]  [ OpenReview] 
None
Beyond Generation: Exploring Generalization of Diffusion Models in Few-shot Segmentation
In NeurIPS 2023 Workshop on Diffusion Models
Jie Liu · TAO HU · Jan-jakob Sonke · Efstratios Gavves
[ OpenReview] 
None
Score Normalization for a Faster Diffusion Exponential Integrator Sampler (DEIS)
In NeurIPS 2023 Workshop on Diffusion Models
Guoxuan Xia · Duolikun Danier · Ayan Das · Stathi Fotiadis · Farhang Nabiei · Ushnish Sengupta · Alberto Bernacchia
[ Poster]  [ OpenReview] 
None
Harmonic Prior Self-conditioned Flow Matching for Multi-Ligand Docking and Binding Site Design
In NeurIPS 2023 Workshop on Diffusion Models
Hannes Stärk · Bowen Jing · Regina Barzilay · Tommi Jaakkola
[ OpenReview] 
None
Text-Aware Diffusion Policies
In NeurIPS 2023 Workshop on Diffusion Models
Calvin Luo · Chen Sun
[ OpenReview] 
None
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization
In NeurIPS 2023 Workshop on Diffusion Models
Yinbin Han · Meisam Razaviyayn · Renyuan Xu
[ Poster]  [ OpenReview] 
None
You Only Submit One Image to Find the Most Suitable Generative Model
In NeurIPS 2023 Workshop on Diffusion Models
Zhi Zhou · Lan-Zhe Guo · Pengxiao Song · Yu-Feng Li
[ OpenReview] 
None
Circumventing Concept Erasure Methods For Text-to-Image Generative Models
In NeurIPS 2023 Workshop on Diffusion Models
Minh Pham · Kelly Marshall · Niv Cohen · Govind Mittal · Chinmay Hegde
[ Poster]  [ OpenReview] 
None
The Emergence of Reproducibility and Consistency in Diffusion Models
In NeurIPS 2023 Workshop on Diffusion Models
Huijie Zhang · Jinfan Zhou · Yifu Lu · Minzhe Guo · Liyue Shen · Qing Qu
[ OpenReview] 
None
Latent Diffusion for Document Generation with Sequential Decoding
In NeurIPS 2023 Workshop on Diffusion Models
Zihuiwen Ye · Elle Michelle Yang · Phil Blunsom
[ Poster]  [ OpenReview] 
None
Drag-guided diffusion models for vehicle image generation
In NeurIPS 2023 Workshop on Diffusion Models
Nikos Arechiga · Frank Permenter · Binyang Song · Chenyang Yuan
[ Poster]  [ OpenReview] 
None
LoRA can Replace Time and Class Embeddings in Diffusion Probabilistic Models
In NeurIPS 2023 Workshop on Diffusion Models
Joo Young Choi · Jaesung Park · Inkyu Park · Jaewoong Cho · Albert No · Ernest Ryu
[ OpenReview] 
None
Functional Flow Matching
In NeurIPS 2023 Workshop on Diffusion Models
Gavin Kerrigan · Giosue Migliorini · Padhraic Smyth
[ Poster]  [ OpenReview] 
None
$f$-GANs Settle Scores!
In NeurIPS 2023 Workshop on Diffusion Models
Siddarth Asokan · Nishanth Shetty · Aadithya Srikanth · Chandra Seelamantula
[ Poster]  [ OpenReview] 
None
Generalized Contrastive Divergence: Joint Training of Energy-Based Model and Diffusion Model through Inverse Reinforcement Learning
In NeurIPS 2023 Workshop on Diffusion Models
Sangwoong Yoon · Dohyun Kwon · Himchan Hwang · Yung-Kyun Noh · Frank Park
[ OpenReview] 
None
Importance-Guided Diffusion
In NeurIPS 2023 Workshop on Diffusion Models
Paris Flood · Pietro Lió
[ Poster]  [ OpenReview] 
None
Diffusion models for probabilistic programming
In NeurIPS 2023 Workshop on Diffusion Models
Simon Dirmeier · Fernando Perez-Cruz
[ OpenReview] 
None
Diffusion-Augmented Neural Processes
In NeurIPS 2023 Workshop on Diffusion Models
Lorenzo Bonito · James Requeima · Aliaksandra Shysheya · Richard Turner
[ Poster]  [ OpenReview] 
None
Diffusion based Zero-shot Medical Image-to-Image Translation for Cross Modality Segmentation
In NeurIPS 2023 Workshop on Diffusion Models
zihao wang · YINGYU YANG · Yuzhou Chen · Tingting Yuan · Maxime Sermesant · Herve Delingette · Ona Wu
[ Slides]  [ OpenReview] 
None
Towards Fast Stochastic Sampling in Diffusion Generative Models
In NeurIPS 2023 Workshop on Diffusion Models
Kushagra Pandey · Maja Rudolph · Stephan Mandt
[ Poster]  [ OpenReview] 
None
Faster Training of Diffusion Models and Improved Density Estimation via Parallel Score Matching
In NeurIPS 2023 Workshop on Diffusion Models
Etrit Haxholli · Marco Lorenzi
[ Poster]  [ OpenReview] 
None
Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models
In NeurIPS 2023 Workshop on Diffusion Models
Song Mei · Yuchen Wu
[ OpenReview] 
None
Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models
In NeurIPS 2023 Workshop on Diffusion Models
Hyeonho Jeong · Jong Chul Ye
[ Poster]  [ OpenReview] 
None
AlphaFold Meets Flow Matching for Generating Protein Ensembles
In NeurIPS 2023 Workshop on Diffusion Models
Bowen Jing · Bonnie Berger · Tommi Jaakkola
[ OpenReview] 
None
MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design
In NeurIPS 2023 Workshop on Diffusion Models
Xiang Fu · Tian Xie · Andrew Rosen · Tommi Jaakkola · Jake Smith
[ OpenReview] 
None
Staged Diffusion Models with Analytically Designed Hyperparameters
In NeurIPS 2023 Workshop on Diffusion Models
Kanad Pardeshi · Shrey Singla · Sunita Sarawagi
[ OpenReview] 
None
Successfully Applying Lottery Ticket Hypothesis to Diffusion Model
In NeurIPS 2023 Workshop on Diffusion Models
Chao Jiang · Bo Hui · Bohan Liu · Da Yan
[ OpenReview] 
None
Fast Sampling via De-randomization for Discrete Diffusion Models
In NeurIPS 2023 Workshop on Diffusion Models
Zixiang Chen · Angela Yuan · Yongqian Li · Yiwen Kou · Junkai Zhang · Quanquan Gu
[ OpenReview] 
None
Effective Data Augmentation With Diffusion Models
In NeurIPS 2023 Workshop on Diffusion Models
Brandon Trabucco · Kyle Doherty · Max Gurinas · Russ Salakhutdinov
[ OpenReview] 
None
IterInv: Iterative Inversion for Pixel-Level T2I Models
In NeurIPS 2023 Workshop on Diffusion Models
Chuanming Tang · kai wang · Joost van de Weijer
[ Poster]  [ OpenReview] 
None
Effective Quantization for Diffusion Models on CPUs
In NeurIPS 2023 Workshop on Diffusion Models
Hanwen Chang · Haihao Shen · Yiyang Cai · Xinyu Ye · Zhenzhong Xu · Wenhua Cheng · Weiwei Zhang · Yintong Lu · Heng Guo
[ Poster]  [ OpenReview] 
None
Beyond Surface Statistics: Scene Representations in a Latent Diffusion Model
In NeurIPS 2023 Workshop on Diffusion Models
Yida Chen · Fernanda Viégas · Martin Wattenberg
[ Poster]  [ OpenReview] 
None
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
In NeurIPS 2023 Workshop on Diffusion Models
Gabriele Corso · Yilun Xu · Valentin De Bortoli · Regina Barzilay · Tommi Jaakkola
[ OpenReview] 
None
Manifold Diffusion Fields
In NeurIPS 2023 Workshop on Diffusion Models
Ahmed Elhag · Yuyang Wang · Joshua Susskind · Miguel Angel Bautista
[ OpenReview] 
None
LDM3D-VR: Latent Diffusion Model for 3D VR
In NeurIPS 2023 Workshop on Diffusion Models
Gabriela Ben-Melech Stan · Diana Wofk · Estelle Aflalo · Shao-Yen Tseng · zhipeng cai · Michael Paulitsch · VASUDEV LAL
[ OpenReview] 
None
Latent Painter
In NeurIPS 2023 Workshop on Diffusion Models
Shih-Chieh Su
[ Poster]  [ OpenReview] 
None
DiffDock-Pocket: Diffusion for Pocket-Level Docking with Sidechain Flexibility
In NeurIPS 2023 Workshop on Diffusion Models
Michael Plainer · Marcella Toth · Simon Dobers · Hannes Stärk · Gabriele Corso · Céline Marquet · Regina Barzilay
[ Poster]  [ OpenReview] 
None
Bridging the Gap: Addressing Discrepancies in Diffusion Model Training for Classifier-Free Guidance
In NeurIPS 2023 Workshop on Diffusion Models
Niket Patel · Luis Salamanca · Luis Barba
[ Poster]  [ OpenReview] 
None
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
In NeurIPS 2023 Workshop on Diffusion Models
Salva Rühling Cachay · Bo Zhao · Hailey Joren · Rose Yu
[ Poster]  [ OpenReview] 
None
Strong generalization in diffusion models
In NeurIPS 2023 Workshop on Diffusion Models
Zahra Kadkhodaie · Florentin Guth · Eero Simoncelli · Stephane Mallat
[ OpenReview] 
None
In search of dispersed memories: Generative diffusion models are associative memory networks
In NeurIPS 2023 Workshop on Diffusion Models
Luca Ambrogioni
[ OpenReview] 
None
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
In NeurIPS 2023 Workshop on Diffusion Models
Dongjun Kim · Chieh-Hsin Lai · Wei-Hsiang Liao · Naoki Murata · Yuhta Takida · Toshimitsu Uesaka · Yutong He · Yuki Mitsufuji · Stefano Ermon
[ Slides]  [ OpenReview] 
None
Learning from Invalid Data: On Constraint Satisfaction in Generative Models
In NeurIPS 2023 Workshop on Diffusion Models
Giorgio Giannone · Lyle Regenwetter · Akash Srivastava · Dan Gutfreund · Faez Ahmed
[ Poster]  [ OpenReview] 
None
Improved Convergence of Score-Based Diffusion Models via Prediction-Correction
In NeurIPS 2023 Workshop on Diffusion Models
Francesco Pedrotti · Jan Maas · Marco Mondelli
[ Poster]  [ OpenReview] 
None
LC-SD: Realistic Endoscopic Image Generation with Stable Diffusion and ControlNet
In NeurIPS 2023 Workshop on Diffusion Models
Joanna Kaleta · Diego Dall'Alba · Szymon Plotka · Przemyslaw Korzeniowski
[ Poster]  [ OpenReview] 
None
Investigating the Adversarial Robustness of Density Estimation Using the Probability Flow ODE
In NeurIPS 2023 Workshop on Diffusion Models
Marius Arvinte · Cory Cornelius · Jason Martin · Nageen Himayat
[ Poster]  [ OpenReview] 
None
Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning
In NeurIPS 2023 Workshop on Diffusion Models
Junwoo Chang · Hyunwoo Ryu · Jiwoo Kim · Soochul Yoo · Joohwan Seo · Nikhil Potu Surya Prakash · Jongeun Choi · Roberto Horowitz
[ Poster]  [ OpenReview] 
None
Sharp analysis of learning a flow-based generative model from limited sample complexity
In NeurIPS 2023 Workshop on Diffusion Models
Hugo Cui · Eric Vanden-Eijnden · Florent Krzakala · Lenka Zdeborová
[ Poster]  [ OpenReview] 
None
Enhancing Diffusion-based Point Cloud Generation with Smoothness Constraint
In NeurIPS 2023 Workshop on Diffusion Models
Yukun Li · Liping Liu
[ OpenReview] 
None
Generate Your Own Scotland: Satellite Image Generation Conditioned on Maps
In NeurIPS 2023 Workshop on Diffusion Models
Miguel Espinosa Minano · Elliot Crowley
[ Poster]  [ OpenReview] 
None
Masked Multi-time Diffusion for Multi-modal Generative Modeling
In NeurIPS 2023 Workshop on Diffusion Models
Mustapha BOUNOUA · Giulio Franzese · Pietro Michiardi
[ OpenReview] 
None
Beyond U: Making Diffusion Models Faster & Lighter
In NeurIPS 2023 Workshop on Diffusion Models
Sergio Calvo Ordoñez · Jiahao Huang · Lipei Zhang · Guang Yang · Carola-Bibiane Schönlieb · ANGELICA I AVILES-RIVERO
[ Poster]  [ OpenReview] 
None
SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions
In NeurIPS 2023 Workshop on Diffusion Models
Yuseung Lee · Kunho Kim · Hyunjin Kim · Minhyuk Sung
[ Poster]  [ OpenReview] 
None
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
In NeurIPS 2023 Workshop on Diffusion Models
Giorgio Giannone · Akash Srivastava · Ole Winther · Faez Ahmed
[ Poster]  [ OpenReview] 
None
Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints
In NeurIPS 2023 Workshop on Diffusion Models
Jian Chen · Ruiyi Zhang · Yufan Zhou · Rajiv Jain · Zhiqiang Xu · Ryan Rossi · Changyou Chen
[ Poster]  [ OpenReview] 
None
DiffEnc: Variational Diffusion with a Learned Encoder
In NeurIPS 2023 Workshop on Diffusion Models
Beatrix M. G. Nielsen · Anders Christensen · Andrea Dittadi · Ole Winther
[ Poster]  [ OpenReview] 
None
Probing Intersectional Biases in Vision-Language Models with Counterfactual Examples
In NeurIPS 2023 Workshop on Diffusion Models
Phillip Howard · Avinash Madasu · Tiep Le · Gustavo Lujan-Moreno · VASUDEV LAL
[ Poster]  [ OpenReview] 
None
Improving Discrete Diffusion Models via Structured Preferential Generation
In NeurIPS 2023 Workshop on Diffusion Models
Severi Rissanen · Markus Heinonen · Arno Solin
[ OpenReview] 
None
Diffusion Models without Attention
In NeurIPS 2023 Workshop on Diffusion Models
Nathan Yan · Jiatao Gu · Alexander Rush
[ OpenReview] 
None
Sampling with flows, diffusion and autoregressive neural networks: A spin-glass perspective
In NeurIPS 2023 Workshop on Diffusion Models
Davide Ghio · Yatin Dandi · Florent Krzakala · Lenka Zdeborová
[ OpenReview] 
None
Exploring Attribute Variations in Style-based GANs using Diffusion Models
In NeurIPS 2023 Workshop on Diffusion Models
Rishubh Parihar · Prasanna Balaji · Raghav Magazine · Sarthak Vora · Tejan Karmali · Varun Jampani · Venkatesh Babu R
[ OpenReview] 
None
Generative Fractional Diffusion Models
In NeurIPS 2023 Workshop on Diffusion Models
Gabriel Nobis · Marco Aversa · Maximilian Springenberg · Michael Detzel · Stefano Ermon · Shinichi Nakajima · Roderick Murray-Smith · Sebastian Lapuschkin · Christoph Knochenhauer · Luis Oala · Wojciech Samek
[ Poster]  [ OpenReview] 
None
Retrofitting 2D Latent Diffusion for Controllable Face Image Generation
In NeurIPS 2023 Workshop on Diffusion Models
Weihao Xia · Cengiz Oztireli · Jing-Hao Xue
[ OpenReview] 
None
Decoding the Seeing Brain: Reconstructing Images and Text from fMRI Recordings with multimodal diffusion models
In NeurIPS 2023 Workshop on Diffusion Models
Matteo Ferrante · Tommaso Boccato · Furkan Ozcelik · Rufin VanRullen · Nicola Toschi
[ OpenReview] 
None
Leveraging Diffusion Disentangled Representations to Mitigate Shortcuts in Underspecified Visual Tasks
In NeurIPS 2023 Workshop on Diffusion Models
Luca Scimeca · Alexander Rubinstein · Armand Nicolicioiu · Damien Teney · Yoshua Bengio
[ Poster]  [ OpenReview]