Cover Image

PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Chenyu, Michel, Oscar, Pan, Xichen, Liu, Sainan, Roberts, Mike, Xie, Saining
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Image Sculpting: Precise Object Editing with 3D Geometry Control
by: Yenphraphai, Jiraphon, et al.
Published: (2024)

Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis
by: Tang, Bingda, et al.
Published: (2025)

Cambrian-P: Pose-Grounded Video Understanding
by: Yang, Jihan, et al.
Published: (2026)

Repurposing Geometric Foundation Models for Multi-view Diffusion
by: Jang, Wooseok, et al.
Published: (2026)

Solaris: Building a Multiplayer Video World Model in Minecraft
by: Savva, Georgy, et al.
Published: (2026)

Deconstructing Denoising Diffusion Models for Self-Supervised Learning
by: Chen, Xinlei, et al.
Published: (2024)

SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers
by: Ma, Nanye, et al.
Published: (2024)

Fast Encoding and Decoding for Implicit Video Representation
by: Chen, Hao, et al.
Published: (2024)

BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset
by: Chen, Jiuhai, et al.
Published: (2025)

Diffusion Transformers with Representation Autoencoders
by: Zheng, Boyang, et al.
Published: (2025)

TPDiff: Temporal Pyramid Video Diffusion Model
by: Ran, Lingmin, et al.
Published: (2025)

Video Diffusion Models are Training-free Motion Interpreter and Controller
by: Xiao, Zeqi, et al.
Published: (2024)

Morpheus: Benchmarking Physical Reasoning of Video Generative Models with Real Physical Experiments
by: Zhang, Chenyu, et al.
Published: (2025)

SARD: Segmentation-Aware Anomaly Synthesis via Region-Constrained Diffusion with Discriminative Mask Guidance
by: Wang, Yanshu, et al.
Published: (2025)

Benchmark Designers Should "Train on the Test Set" to Expose Exploitable Non-Visual Shortcuts
by: Brown, Ellis, et al.
Published: (2025)

LRQ-DiT: Log-Rotation Post-Training Quantization of Diffusion Transformers for Image and Video Generation
by: Yang, Lianwei, et al.
Published: (2025)

Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
by: Yu, Sihyun, et al.
Published: (2024)

EgoExo-Gen: Ego-centric Video Prediction by Watching Exo-centric Videos
by: Xu, Jilan, et al.
Published: (2025)

DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing
by: Choi, June Suk, et al.
Published: (2024)

MoGAN: Improving Motion Quality in Video Diffusion via Few-Step Motion Adversarial Post-Training
by: Xue, Haotian, et al.
Published: (2025)

PISA: Piecewise Sparse Attention Is Wiser for Efficient Diffusion Transformers
by: Li, Haopeng, et al.
Published: (2026)

SIMS-V: Simulated Instruction-Tuning for Spatial Video Understanding
by: Brown, Ellis, et al.
Published: (2025)

SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations
by: Chen, Zhaorun, et al.
Published: (2024)

Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
by: Tong, Shengbang, et al.
Published: (2024)

QVD: Post-training Quantization for Video Diffusion Models
by: Tian, Shilong, et al.
Published: (2024)

Exploring Data-Free LoRA Transferability for Video Diffusion Models
by: Wang, Yuchen, et al.
Published: (2026)

Video-LMM Post-Training: A Deep Dive into Video Reasoning with Large Multimodal Models
by: Tang, Yolo Y., et al.
Published: (2025)

Video Streaming Thinking: VideoLLMs Can Watch and Think Simultaneously
by: Guan, Yiran, et al.
Published: (2026)

Scale Where It Matters: Training-Free Localized Scaling for Diffusion Models
by: Ren, Qin, et al.
Published: (2025)

SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training
by: Wang, Jianyi, et al.
Published: (2025)

Watch Before You Answer: Learning from Visually Grounded Post-Training
by: Zhang, Yuxuan, et al.
Published: (2026)

ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning
by: Duan, Zhongjie, et al.
Published: (2024)

Tail-Aware Post-Training Quantization for 3D Geometry Models
by: Pan, Sicheng, et al.
Published: (2026)

Exploring Iterative Refinement with Diffusion Models for Video Grounding
by: Liang, Xiao, et al.
Published: (2023)

VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models
by: Xie, Chaohao, et al.
Published: (2025)

Magic Fixup: Streamlining Photo Editing by Watching Dynamic Videos
by: Alzayer, Hadi, et al.
Published: (2024)

WAT: Online Video Understanding Needs Watching Before Thinking
by: Han, Zifan, et al.
Published: (2026)

Self-Refining Video Sampling
by: Jang, Sangwon, et al.
Published: (2026)

Learning A Physical-aware Diffusion Model Based on Transformer for Underwater Image Enhancement
by: Zhao, Chen, et al.
Published: (2024)

Transfer between Modalities with MetaQueries
by: Pan, Xichen, et al.
Published: (2025)