Cover Image

TRAVL: A Recipe for Making Video-Language Models Better Judges of Physics Implausibility

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Motamed, Saman, Chen, Minghao, Van Gool, Luc, Laina, Iro
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VOID: Video Object and Interaction Deletion
by: Motamed, Saman, et al.
Published: (2026)

Investigating the Effectiveness of Cross-Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models
by: Motamed, Saman, et al.
Published: (2024)

Lego: Learning to Disentangle and Invert Personalized Concepts Beyond Object Appearance in Text-to-Image Diffusion Models
by: Motamed, Saman, et al.
Published: (2023)

DGE: Direct Gaussian 3D Editing by Consistent Multi-view Editing
by: Chen, Minghao, et al.
Published: (2024)

When Do Diffusion Models learn to Generate Multiple Objects?
by: Jeong, Yujin, et al.
Published: (2026)

Learning segmentation from point trajectories
by: Karazija, Laurynas, et al.
Published: (2025)

Learning Local and Global Temporal Contexts for Video Semantic Segmentation
by: Sun, Guolei, et al.
Published: (2022)

3D-Aware Instance Segmentation and Tracking in Egocentric Videos
by: Bhalgat, Yash, et al.
Published: (2024)

HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator
by: Yang, Fan, et al.
Published: (2024)

EgoCross: Benchmarking Multimodal Large Language Models for Cross-Domain Egocentric Video Question Answering
by: Li, Yanjun, et al.
Published: (2025)

Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation
by: Mansour, Elham Amin, et al.
Published: (2024)

A Unified and Interpretable Emotion Representation and Expression Generation
by: Paskaleva, Reni, et al.
Published: (2024)

What Happens Next? Anticipating Future Motion by Generating Point Trajectories
by: Boduljak, Gabrijel, et al.
Published: (2025)

Learning Generative Interactive Environments By Trained Agent Exploration
by: Kazemi, Naser, et al.
Published: (2024)

Is Your Video Language Model a Reliable Judge?
by: Liu, Ming, et al.
Published: (2025)

BRITE: A Benchmark for Reliable and Interpretable T2V Evaluation on Implausible Scenarios
by: Tilak, Advait, et al.
Published: (2026)

Self-Explainable Affordance Learning with Embodied Caption
by: Zhang, Zhipeng, et al.
Published: (2024)

Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking
by: Segu, Mattia, et al.
Published: (2024)

VideoGameQA-Bench: Evaluating Vision-Language Models for Video Game Quality Assurance
by: Taesiri, Mohammad Reza, et al.
Published: (2025)

Enhancing Physical Plausibility in Video Generation by Reasoning the Implausibility
by: Hao, Yutong, et al.
Published: (2025)

N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields
by: Bhalgat, Yash, et al.
Published: (2024)

Empirical Recipes for Efficient and Compact Vision-Language Models
by: Huang, Jiabo, et al.
Published: (2026)

CoPE-VideoLM: Leveraging Codec Primitives For Efficient Video Language Modeling
by: Sarkar, Sayan Deb, et al.
Published: (2026)

Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025
by: Fu, Yuqian, et al.
Published: (2025)

Datasets and Recipes for Video Temporal Grounding via Reinforcement Learning
by: Chen, Ruizhe, et al.
Published: (2025)

Do generative video models understand physical principles?
by: Motamed, Saman, et al.
Published: (2025)

WorldModelBench: Judging Video Generation Models As World Models
by: Li, Dacheng, et al.
Published: (2025)

IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation
by: Melas-Kyriazi, Luke, et al.
Published: (2024)

Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing
by: Zaech, Jan-Nico, et al.
Published: (2023)

Knowing Your Target: Target-Aware Transformer Makes Better Spatio-Temporal Video Grounding
by: Gu, Xin, et al.
Published: (2025)

Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos
by: Tschernezki, Vadim, et al.
Published: (2025)

TempGlitch: Evaluating Vision-Language Models for Temporal Glitch Detection in Gameplay Videos
by: Yu, Yakun, et al.
Published: (2026)

Latent Video Prediction Learns Better World Models
by: Alrasheed, Ali J, et al.
Published: (2026)

On Occlusions in Video Action Detection: Benchmark Datasets And Training Recipes
by: Modi, Rajat, et al.
Published: (2024)

Multimodal Language Models See Better When They Look Shallower
by: Chen, Haoran, et al.
Published: (2025)

InTraGen: Trajectory-controlled Video Generation for Object Interactions
by: Liu, Zuhao, et al.
Published: (2024)

Video as the New Language for Real-World Decision Making
by: Yang, Sherry, et al.
Published: (2024)

PartGen: Part-level 3D Generation and Reconstruction with Multi-View Diffusion Models
by: Chen, Minghao, et al.
Published: (2024)

Diffusion Models for Open-Vocabulary Segmentation
by: Karazija, Laurynas, et al.
Published: (2023)

V2P-Bench: Evaluating Video-Language Understanding with Visual Prompts for Better Human-Model Interaction
by: Zhao, Yiming, et al.
Published: (2025)