Michael Rubinstein

papers

5,612

total citations

papers (24)

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

CVPR 2023arXiv

3,842

citations

Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens

ICLR 2025arXiv

119

citations

Motion Prompting: Controlling Video Generation with Motion Trajectories

CVPR 2025arXiv

citations

LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery

NEURIPS 2022arXiv

citations

Omnimatte: Associating Objects and Their Effects in Video

CVPR 2021arXiv

citations

SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow

CVPR 2023arXiv

citations

TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency

ECCV 2022arXiv

citations

Disentangling Architecture and Training for Optical Flow

ECCV 2022arXiv

citations

Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery From Sparse Image Ensemble

CVPR 2023arXiv

citations

ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections

NEURIPS 2023arXiv

citations

Deep Saliency Prior for Reducing Visual Distraction

CVPR 2022arXiv

citations

Magic Insert: Style-Aware Drag-and-Drop

ICCV 2025arXiv

citations

Unbounded: A Generative Infinite Game of Character Life Simulation

ICLR 2025arXiv

citations

High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion

AAAI 2025arXiv

citations

StyleDrop: Text-to-Image Synthesis of Any Style

NEURIPS 2023

citations

Structure and Motion from Casual Videos

ECCV 2022

citations

3D Motion Magnification: Visualizing Subtle Motions from Time-Varying Radiance Fields

ICCV 2023

citations

Associating Objects and Their Effects in Video through Coordination Games

NEURIPS 2022

citations

Michael Rubinstein

papers (24)

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

SpeedNet: Learning the Speediness in Videos

DreamBooth3D: Subject-Driven Text-to-3D Generation

HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models

Score-Based Diffusion Models as Principled Priors for Inverse Imaging

Probing the 3D Awareness of Visual Foundation Models

WonderJourney: Going from Anywhere to Everywhere

Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens

Motion Prompting: Controlling Video Generation with Motion Trajectories

LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery

Omnimatte: Associating Objects and Their Effects in Video

SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow

TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency

Disentangling Architecture and Training for Optical Flow

Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery From Sparse Image Ensemble

ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections

Deep Saliency Prior for Reducing Visual Distraction

Magic Insert: Style-Aware Drag-and-Drop

Unbounded: A Generative Infinite Game of Character Life Simulation

High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion

StyleDrop: Text-to-Image Synthesis of Any Style

Structure and Motion from Casual Videos

3D Motion Magnification: Visualizing Subtle Motions from Time-Varying Radiance Fields

Associating Objects and Their Effects in Video through Coordination Games

papers (24)

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

SpeedNet: Learning the Speediness in Videos

DreamBooth3D: Subject-Driven Text-to-3D Generation

HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models

Score-Based Diffusion Models as Principled Priors for Inverse Imaging

Probing the 3D Awareness of Visual Foundation Models

WonderJourney: Going from Anywhere to Everywhere

Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens

Motion Prompting: Controlling Video Generation with Motion Trajectories

LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery

Omnimatte: Associating Objects and Their Effects in Video

SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow

TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency

Disentangling Architecture and Training for Optical Flow

Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery From Sparse Image Ensemble

ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections

Deep Saliency Prior for Reducing Visual Distraction

Magic Insert: Style-Aware Drag-and-Drop

Unbounded: A Generative Infinite Game of Character Life Simulation

High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion

StyleDrop: Text-to-Image Synthesis of Any Style

Structure and Motion from Casual Videos

3D Motion Magnification: Visualizing Subtle Motions from Time-Varying Radiance Fields

Associating Objects and Their Effects in Video through Coordination Games