mlsanityData to 14 Oct 2026

CamCloneMaster: Enabling Reference-based Camera Control for Video Generation

arXiv 2506.03140 ↗First posted 3 Jun 2025cs.CVcited by 46

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Abstract (arXiv)

Camera control is crucial for generating expressive and cinematic videos. Existing methods rely on explicit sequences of camera parameters as control conditions, which can be cumbersome for users to construct, particularly for intricate camera movements. To provide a more intuitive camera control method, we propose CamCloneMaster, a framework that enables users to replicate camera movements from reference videos without requiring camera parameters or test-time fine-tuning. CamCloneMaster seamlessly supports reference-based camera control for both Image-to-Video and Video-to-Video tasks within a unified framework. Furthermore, we present the Camera Clone Dataset, a large-scale synthetic dataset designed for camera clone learning, encompassing diverse scenes, subjects, and camera movements. Extensive experiments and user studies demonstrate that CamCloneMaster outperforms existing methods in terms of both camera controllability and visual quality.

Key facts. Cited by 46 papers in the map (data through 14 Oct 2026). Builds on 40 of its 54 references that are in the map. First posted on arXiv 3 Jun 2025.

Builds on

40 of 54 references.

References · 40

  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  3. 2022Flow Matching for Generative Modelingcited by 5,702
  4. 2022Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flowcited by 3,700
  5. 2025Wan: Open and Advanced Large-Scale Video Generative Modelscited by 2,708
  6. 2023Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasetscited by 2,581
  7. 2023VBench: Comprehensive Benchmark Suite for Video Generative Modelscited by 1,822
  8. 2018Towards Accurate Generative Models of Video: A New Metric & Challengescited by 1,234
  9. 2022CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformerscited by 985
  10. 2023MotionCtrl: A Unified and Flexible Motion Controller for Video Generationcited by 580
  11. 2024Latte: Latent Diffusion Transformer for Video Generationcited by 546
  12. 2023DynamiCrafter: Animating Open-domain Images with Video Diffusion Priorscited by 471
28 more
  1. 2024CameraCtrl: Enabling Camera Control for Text-to-Video Generationcited by 460
  2. 2024MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motioncited by 442
  3. 2022Latent Video Diffusion Models for High-Fidelity Long Video Generationcited by 388
  4. 2023I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Modelscited by 350
  5. 2025GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Controlcited by 341
  6. 2021Light Field Networks: Neural Scene Representations with Single-Evaluation Renderingcited by 332
  7. 2025ReCamMaster: Camera-Controlled Generative Rendering from A Single Videocited by 287
  8. 2024MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videoscited by 228
  9. 2024Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modelingcited by 211
  10. 2025Diffusion as Shader: 3D-aware Video Diffusion for Versatile Video Generation Controlcited by 185
  11. 2025Stable Virtual Camera: Generative View Synthesis with Diffusion Modelscited by 182
  12. 2024CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generationcited by 166
  13. 2024VD3D: Taming Large Video Diffusion Transformers for 3D Camera Controlcited by 156
  14. 2024AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformerscited by 154
  15. 2024SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistencycited by 144
  16. 2024Koala-36M: A Large-scale Video Dataset Improving Consistency between Fine-grained Conditions and Video Contentcited by 135
  17. 2024Training-free Camera Control for Video Generationcited by 122
  18. 2024CamI2V: Camera-Controlled Image-to-Video Diffusion Modelcited by 120
  19. 2024Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Controlcited by 117
  20. 2024MotionClone: Training-Free Motion Cloning for Controllable Video Generationcited by 105
  21. 2022ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wildcited by 92
  22. 2024GIM: Learning Generalizable Image Matcher From Internet Videoscited by 75
  23. 2025CineMaster: A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generationcited by 74
  24. 2024ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuningcited by 70
  25. 2025RealCam-I2V: Real-World Image-to-Video Generation with Interactive Complex Camera Controlcited by 57
  26. 2024LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometrycited by 56
  27. 2025GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Trackingcited by 39
  28. 2025LightMotion: A Light and Tuning-free Method for Simulating Camera Motion in Video Generationcited by 5

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 8; 2026: 38.

46 papers.

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  1. 2026NeoVerse: Enhancing 4D World Model with in-the-wild Monocular Videoscited by 46
  2. 2025Spatia: Video Generation with Updatable Spatial Memorycited by 40
  3. 2025MultiShotMaster: A Controllable Multi-Shot Video Generation Frameworkcited by 36
  4. 2026ShotStream: Streaming Multi-Shot Video Generation for Interactive Storytellingcited by 28
  5. 2026VINO: A Unified Visual Generator with Interleaved OmniModal Contextcited by 26
  6. 2026Vista4D: Video Reshooting with 4D Point Cloudscited by 18
  7. 2025Simulating the Visual World with Artificial Intelligence: A Roadmapcited by 15
  8. 2026AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memoriescited by 15
  9. 2026ReRoPE: Repurposing RoPE for Relative Camera Controlcited by 13
  10. 2026Bernini: Latent Semantic Planning for Video Diffusioncited by 12
  11. 2025ReDirector: Creating Any-Length Video Retakes with Rotary Camera Encodingcited by 11
  12. 2026World-R1: Reinforcing 3D Constraints for Text-to-Video Generationcited by 11
34 more
  1. 2026SpatialEdit: Benchmarking Fine-Grained Image Spatial Editingcited by 10
  2. 2026CineScene: Implicit 3D as Effective Scene Representation for Cinematic Video Generationcited by 7
  3. 2026OmniTransfer: All-in-one Framework for Spatio-temporal Video Transfercited by 6
  4. 2026FreeOrbit4D: Training-Free Arbitrary Camera Redirection for Monocular Videos via Foreground-Complete 4D Reconstructioncited by 6
  5. 20263D-Aware Implicit Motion Control for View-Adaptive Human Video Generationcited by 6
  6. 2026Echo-Memory: A Controlled Study of Memory in Action World Modelscited by 6
  7. 2026OmniDirector: General Multi-Shot Camera Cloning without Cross-Paired Datacited by 6
  8. 2026AlayaWorld: Long-Horizon and Playable Video World Generationcited by 6
  9. 2025LAMP: Language-Assisted Motion Planning for Controllable Video Generationcited by 4
  10. 2025StereoPilot: Learning Unified and Efficient Stereo Conversion via Generative Priorscited by 3
  11. 2026Geometry-Guided Camera Motion Understanding in VideoLLMscited by 3
  12. 2026OpenWorldLib: A Unified Codebase and Definition of Advanced World Modelscited by 3
  13. 2026EffectMaker: Unifying Reasoning and Generation for Customized Visual Effect Creationcited by 2
  14. 2026Track2View: 4D-Consistent Camera-Controlled Video Generation via Paired 3D Point Trackscited by 2
  15. 2026TriMotion: Modality-Agnostic Camera Control for Video Generationcited by 2
  16. 2025ReCamDriving: LiDAR-Free Camera-Controlled Video Synthesis for Novel Trajectoriescited by 1
  17. 2025CustomX: Unified Character, Action, and Scene Customization in Video World Modelscited by 1
  18. 2026Real2SAM2Real: Generative 3D Caches as Complementary Context for Video Diffusioncited by 1
  19. 2026Go-with-the-Track: Video Compositing and Motion Control with Point Trackingcited by 1
  20. 2026Ink3D: Sculpting 3D Assets with Extremely Complex Textures via Video Generative Modelscited by 1
  21. 2026CameraAnything: Refilming Videos with Arbitrary Camera Controlcited by 1
  22. 2026TARS: Timestep-Aware Data Scaling for 3D-Free Video Re-Shootingcited by 1
  23. 2026Beyond Inpainting: Unleash 3D Understanding for Precise Camera-Controlled Video Generationcited by 0
  24. 2026OmniCamera: A Unified Framework for Multi-task Video Generation with Arbitrary Camera Controlcited by 0
  25. 2026WarpHammer: Densifying Scene Warps with 3D Object Priors for Extreme View Synthesiscited by 0
  26. 2026Unified Panoramic-Gaussian Representation for Monocular 4D Scene Synthesiscited by 0
  27. 2026UniMoCa: Unifying Motion and Camera Controls as Visual Proxies for Faithful Human Video Generationcited by 0
  28. 2026Manifold4D: Denoising on Point Cloud Rendered Manifolds for Video Re-shootingcited by 0
  29. 2026DiVA: Enabling Interactive Digital Life Simulation via Video Modelscited by 0
  30. 2026Unifying Video Tasks via Spatiotemporal Analogycited by 0
  31. 2026WeLike2Party! In-Context Motion Transfer for Multi-Human Image Animationcited by 0
  32. 20264Director: Controlling Video World Models with Rigid 3D Geometrycited by 0
  33. 2026SemCam: Semantic Camera Motion Control for Video Generationcited by 0
  34. 2026Gen Through the Lens: Camera-Controllable Video Generation via Cross-Coordinate Conditioning Fusioncited by 0