Learning Explicit Physical Parameter Control and Benchmarking for Video Generation | Paper Citation Record

Observation 39af379b-a8c1-4f4e-8205-ea070ec12eff · outbound

This paper cites Interdyn: Controllable interactive dynamics with video diffusion models.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Interdyn: Controllable interactive dynamics with video diffusion models

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This paper cites ReCamMaster: Camera-Controlled Generative Rendering from A Single Video.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation ReCamMaster: Camera-Controlled Generative Rendering from A Single Video

Reference 2

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This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

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This paper cites Qwen2.5-VL Technical Report.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Qwen2.5-VL Technical Report

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This paper cites VideoPhy: Evaluating Physical Commonsense for Video Generation.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation VideoPhy: Evaluating Physical Commonsense for Video Generation

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This paper cites VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation

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This paper cites Video generation models as world simulators.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Video generation models as world simulators

Reference 7

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Observation e59c0482-5063-4e04-8752-261a840c91b4 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Emerging properties in self-supervised vision transformers

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Observation 9a09e17a-966e-4fd9-9ea0-94a8d690936d · outbound

This paper cites Visual vibrometry: Estimating material properties from small motion in video.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Visual vibrometry: Estimating material properties from small motion in video

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Observation 85148bf2-772a-4a1c-a1f7-c9c63b26f815 · outbound

This paper cites Objaverse-xl: A universe of 10m+ 3d objects.Advances in Neural Information Processing Systems, 36:35799–35813, 2023.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Objaverse-xl: A universe of 10m+ 3d objects.Advances in Neural Information Processing Systems, 36:35799–35813, 2023

Reference 11

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This paper cites Blenderproc2: A procedural pipeline for photorealistic rendering.Journal of Open Source Software, 8(82): 4901, 2023.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Blenderproc2: A procedural pipeline for photorealistic rendering.Journal of Open Source Software, 8(82): 4901, 2023

Reference 12

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Observation dbc2bd1b-9635-4b0b-82d7-f28982aa556e · outbound

This paper cites Mirrorverse: Pushing diffusion models to realistically reflect the world.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Mirrorverse: Pushing diffusion models to realistically reflect the world

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Observation 8f24475b-81d0-4c34-a08a-cc3bf0ea5be8 · outbound

This paper cites Scaling rectified flow trans- formers for high-resolution image synthesis.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Scaling rectified flow trans- formers for high-resolution image synthesis

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Observation 36521154-34d1-472c-8d91-f61a6fffa3d2 · outbound

This paper cites Narrlv: Towards a comprehensive narrative-centric evaluation for long video generation models.arXiv preprint arXiv:2507.11245, 2025.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Narrlv: Towards a comprehensive narrative-centric evaluation for long video generation models.arXiv preprint arXiv:2507.11245, 2025

Reference 15

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Observation 414a52ce-de73-4b39-a273-75fa66a036f7 · outbound

This paper cites Force prompting: Video generation models can learn and generalize physics-based control signals.arXiv preprint arXiv:2505.19386, 2025.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Force prompting: Video generation models can learn and generalize physics-based control signals.arXiv preprint arXiv:2505.19386, 2025

Reference 16

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This paper cites the public 3d asset library.Avaliable online: https://polyhaven.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation the public 3d asset library.Avaliable online: https://polyhaven

Reference 17

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Observation 59e4de18-6711-443b-b664-7bd091691f9e · outbound

This paper cites Videoscore: Building automatic metrics to simulate fine-grained human feedback for video generation.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Videoscore: Building automatic metrics to simulate fine-grained human feedback for video generation

Reference 18

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Observation c66b3ab8-8f0b-4480-b182-605d3df6f175 · outbound

This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

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Observation 298fafe7-8e26-4f8a-a472-8573cbc16d2e · outbound

This paper cites Taming hallucinations: Boosting mllms’ video understanding via counterfactual video generation.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Taming hallucinations: Boosting mllms’ video understanding via counterfactual video generation

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This paper cites Vbench: Comprehensive benchmark suite for video generative models.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Vbench: Comprehensive benchmark suite for video generative models

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Observation b3318902-9b5d-4783-83c0-5cd457231e6e · outbound

This paper cites VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models

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This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Trans.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation 3d gaussian splatting for real-time radiance field rendering.ACM Trans

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Observation 71c16b8c-6476-46c1-8536-145a8da26bf7 · outbound

This paper cites Auto-Encoding Variational Bayes.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Auto-Encoding Variational Bayes

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Observation 6b29c610-c81e-48ed-87f9-a65e074070bf · outbound

This paper cites Segment anything.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Segment anything

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Observation f8b4d62d-40c2-4427-971a-387b84b56092 · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation HunyuanVideo: A Systematic Framework For Large Video Generative Models

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

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop

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Observation 122cae27-733e-43dc-8f93-fc226916eb47 · outbound

This paper cites C-Drag: Chain-of-Thought Driven Motion Controller for Video Generation.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation C-Drag: Chain-of-Thought Driven Motion Controller for Video Generation

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This paper cites Wonderplay: Dynamic 3d scene generation from a single image and actions.arXiv preprint arXiv:2505.18151, 2025.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Wonderplay: Dynamic 3d scene generation from a single image and actions.arXiv preprint arXiv:2505.18151, 2025

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Observation 72f9bfd9-dfc1-4fa8-9ad0-bc3841498d13 · outbound

This paper cites Evaluation of text-to-video generation models: A dynamics perspective.Advances in Neural Information Processing Systems, 37:109790–109816, 2024.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Evaluation of text-to-video generation models: A dynamics perspective.Advances in Neural Information Processing Systems, 37:109790–109816, 2024

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Observation 693ccdc5-3b9f-4ae3-93bb-4e40d6f1c3ff · outbound

This paper cites VMBench: A Benchmark for Perception-Aligned Video Motion Generation.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation VMBench: A Benchmark for Perception-Aligned Video Motion Generation

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Observation 84a83991-d812-4afb-b2d7-27147f8af5af · outbound

This paper cites Flow Matching for Generative Modeling.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Flow Matching for Generative Modeling

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This paper cites Fr\'echet Video Motion Distance: A Metric for Evaluating Motion Consistency in Videos.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Fr\'echet Video Motion Distance: A Metric for Evaluating Motion Consistency in Videos

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This paper cites Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends

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Observation d5db0cbd-9f5e-4bc3-9791-2d2bc4fc4e1a · outbound

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Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Compositional visual generation with composable diffusion models

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Observation 00c24bcb-0285-49a9-acd4-2b6df3d2d066 · outbound

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Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Physgen: Rigid-body physics-grounded image-to-video generation

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Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Evalcrafter: Benchmarking and evaluating large video generation models

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Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Omni-effects: Unified and spatially- controllable visual effects generation.arXiv preprint arXiv:2508.07981, 2025

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This paper cites Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation

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Observation 30b2575e-f8f5-42c3-b994-eafefd21f9a7 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Nerf: Representing scenes as neural radiance fields for view synthesis

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This paper cites Do generative video models understand physical principles?.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Do generative video models understand physical principles?

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Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Unresolved cited work

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Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Unresolved cited work

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This paper cites Scalable diffusion models with transformers.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Scalable diffusion models with transformers

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This paper cites Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

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Observation 9c0aba36-e70c-4cb8-955b-d37ac9bb439b · outbound

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Learning Explicit Physical Parameter Control and Benchmarking for Video Generation High- resolution image synthesis with latent diffusion models

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Observation 5024d79d-fa45-472a-b066-44bdb88d0a33 · outbound

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Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Learning to generate object interactions with physics-guided video diffusion.arXiv preprint arXiv:2510.02284, 2025

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Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Motion-i2v: Consistent and controllable image-to-video generation with explicit motion modeling

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Learning Explicit Physical Parameter Control and Benchmarking for Video Generation DINOv3

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Learning Explicit Physical Parameter Control and Benchmarking for Video Generation T2v- compbench: A comprehensive benchmark for compositional text-to-video generation

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Learning Explicit Physical Parameter Control and Benchmarking for Video Generation PhysMotion: Physics-Grounded Dynamics From a Single Image

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Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Towards Accurate Generative Models of Video: A New Metric & Challenges

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This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Wan: Open and Advanced Large-Scale Video Generative Models

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Learning Explicit Physical Parameter Control and Benchmarking for Video Generation WISA: World Simulator Assistant for Physics-Aware Text-to-Video Generation

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Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

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This paper cites Motionctrl: A unified and flexible motion controller for video generation.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Motionctrl: A unified and flexible motion controller for video generation

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Observation fccec0f7-a0e3-4733-8679-05d40ebfb28e · outbound

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Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Physanimator: Physics-guided generative cartoon animation

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Observation ba90ebb6-a518-4cc0-8c12-3e6dacd38979 · outbound

This paper cites Evaluating Newtonian Mechanics in Video Generative Models with Real Physical Systems.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Evaluating Newtonian Mechanics in Video Generative Models with Real Physical Systems

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Observation f556f461-947a-4ff2-95fc-dc395931f5f8 · outbound

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Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Adding conditional control to text-to-image diffusion models, 2023

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This paper cites Tora: Trajectory-oriented diffusion transformer for video generation.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Tora: Trajectory-oriented diffusion transformer for video generation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-01T14:02:18.278100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0211c92b-4f20-4d7b-9cb1-8ba264dddddd · outbound

This paper cites Attention never lie: Visual attention defocus reveals and rectifies hallucinations in mllms.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Attention never lie: Visual attention defocus reveals and rectifies hallucinations in mllms

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-01T14:02:18.344030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 587823ea-461d-4097-94a1-78a6f409df20 · outbound

This paper cites Extending one-step image generation from class labels to text via discriminative text representation.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Extending one-step image generation from class labels to text via discriminative text representation

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-01T14:02:18.402859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12a80ab6-ce59-46f4-b579-44a15519e5f7 · outbound

This paper cites VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-01T14:02:18.467232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50ceef46-4673-42a3-9516-a86c91894d2f · outbound

This paper cites Open-Sora: Democratizing Efficient Video Production for All.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Open-Sora: Democratizing Efficient Video Production for All

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-01T14:02:18.505231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c438d6d5-5918-4e6b-9a0e-23f0ad30361b · outbound

This paper cites passes the criterion.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation passes the criterion

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-01T14:02:18.578051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bc49aa8-8505-4a26-a13a-6c84738bf56e · outbound

This paper cites an unresolved cited work.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Unresolved cited work

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-01T14:02:18.643398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b6ba6e2-b355-43fa-b8ed-d7544ba9999a · outbound

This paper cites yes" if the anomaly exists or.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation yes" if the anomaly exists or

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-01T14:02:18.682158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ce67969-a8b9-48f9-9aed-00c75f726496 · outbound

This paper cites an unresolved cited work.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Unresolved cited work

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-01T14:02:16.366309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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