Video Prediction of Dynamic Physical Simulations With Pixel-Space Spatiotemporal Transformers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Slack, Dean L, Hudson, G Thomas, Winterbottom, Thomas, Moubayed, Noura Al
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Everything is a Video: Unifying Modalities through Next-Frame Prediction
by: Hudson, G. Thomas, et al.
Published: (2024)

The Power of Next-Frame Prediction for Learning Physical Laws
by: Winterbottom, Thomas, et al.
Published: (2024)

Controllable Image Generation with Composed Parallel Token Prediction
by: Stirling, Jamie, et al.
Published: (2024)

Investigating Permutation-Invariant Discrete Representation Learning for Spatially Aligned Images
by: Stirling, Jamie S. J., et al.
Published: (2026)

Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics
by: Yucer, Seyma, et al.
Published: (2024)

Pixel Sentence Representation Learning
by: Xiao, Chenghao, et al.
Published: (2024)

AttenCraft: Attention-guided Disentanglement of Multiple Concepts for Text-to-Image Customization
by: Shentu, Junjie, et al.
Published: (2024)

Textual Localization: Decomposing Multi-concept Images for Subject-Driven Text-to-Image Generation
by: Shentu, Junjie, et al.
Published: (2024)

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection
by: Zhang, Shuhai, et al.
Published: (2025)

Early Detection and Reduction of Memorisation for Domain Adaptation and Instruction Tuning
by: Slack, Dean L., et al.
Published: (2025)

Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers
by: Crowson, Katherine, et al.
Published: (2024)

Minerva-Ego: Spatiotemporal Hints for Egocentric Video Understanding
by: Nagrani, Arsha, et al.
Published: (2026)

Latent Forcing: Reordering the Diffusion Trajectory for Pixel-Space Image Generation
by: Baade, Alan, et al.
Published: (2026)

Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces
by: Wang, Ruoqi, et al.
Published: (2025)

FREPix: Frequency-Heterogeneous Flow Matching for Pixel-Space Image Generation
by: Lin, Mingfeng, et al.
Published: (2026)

CoordFlow: Coordinate Flow for Pixel-wise Neural Video Representation
by: Silver, Daniel, et al.
Published: (2025)

Representation Learning for Spatiotemporal Physical Systems
by: Qu, Helen, et al.
Published: (2026)

Model Predictive Simulation Using Structured Graphical Models and Transformers
by: Lou, Xinghua, et al.
Published: (2024)

An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels
by: Nguyen, Duy-Kien, et al.
Published: (2024)

EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens
by: Hwang, Sunil, et al.
Published: (2022)

Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models
by: NVIDIA, et al.
Published: (2024)

UCTB: An Urban Computing Tool Box for Building Spatiotemporal Prediction Services
by: Fang, Jiangyi, et al.
Published: (2023)

Mixture of Distributions Matters: Dynamic Sparse Attention for Efficient Video Diffusion Transformers
by: Liu, Yuxi, et al.
Published: (2026)

Featurising Pixels from Dynamic 3D Scenes with Linear In-Context Learners
by: Araslanov, Nikita, et al.
Published: (2026)

From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection
by: Vandenhirtz, Moritz, et al.
Published: (2025)

Inferring Dynamic Physical Properties from Video Foundation Models
by: Zhan, Guanqi, et al.
Published: (2025)

Spatiotemporal Tile-based Attention-guided LSTMs for Traffic Video Prediction
by: Nguyen, Tu
Published: (2019)

Pixel-Space Post-Training of Latent Diffusion Models
by: Zhang, Christina, et al.
Published: (2024)

DDLP: Unsupervised Object-Centric Video Prediction with Deep Dynamic Latent Particles
by: Daniel, Tal, et al.
Published: (2023)

What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization
by: Thomas, Xavier, et al.
Published: (2025)

LAPA: Log-Domain Prediction-Driven Dynamic Sparsity Accelerator for Transformer Model
by: Wang, Huizheng, et al.
Published: (2025)

From Pixels to BFS: High Maze Accuracy Does Not Imply Visual Planning
by: Salgado, Alberto G. Rodriguez
Published: (2026)

Rethinking Generative Image Pretraining: How Far Are We From Scaling Up Next-Pixel Prediction?
by: Yan, Xinchen, et al.
Published: (2025)

Context-Aware Zero-Shot Anomaly Detection in Surveillance Using Contrastive and Predictive Spatiotemporal Modeling
by: Khan, Md. Rashid Shahriar, et al.
Published: (2025)

Parallelized Spatiotemporal Binding
by: Singh, Gautam, et al.
Published: (2024)

Associative Memories in the Feature Space
by: Salvatori, Tommaso, et al.
Published: (2024)

VideoOrion: Tokenizing Object Dynamics in Videos
by: Feng, Yicheng, et al.
Published: (2024)

Video-Driven Graph Network-Based Simulators
by: Szewczyk, Franciszek, et al.
Published: (2024)

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets
by: Kaczmarek, Emily, et al.
Published: (2025)

Block-Recurrent Dynamics in Vision Transformers
by: Jacobs, Mozes, et al.
Published: (2025)