mlsanityData to 7 Oct 2026

CamDirector: Towards Long-Term Coherent Video Trajectory Editing

arXiv 2603.02256 ↗First posted 27 Feb 2026cs.CVcited by 0

On the map: Diffusion models → Video generation

Abstract (arXiv)

Video (camera) trajectory editing aims to synthesize new videos that follow user-defined camera paths while preserving scene content and plausibly inpainting previously unseen regions, upgrading amateur footage into professionally styled videos. Existing VTE methods struggle with precise camera control and long-range consistency because they either inject target poses through a limited-capacity embedding or rely on single-frame warping with only implicit cross-frame aggregation in video diffusion models. To address these issues, we introduce a new VTE framework that 1) explicitly aggregates information across the entire source video via a hybrid warping scheme. Specifically, static regions are progressively fused into a world cache then rendered to target camera poses, while dynamic regions are directly warped; their fusion yields globally consistent coarse frames that guide refinement. 2) processes video segments jointly with their history via a history-guided autoregressive diffusion model, while the world cache is incrementally updated to reinforce already inpainted content, enabling long-term temporal coherence. Finally, we present iPhone-PTZ, a new VTE benchmark with diverse camera motions and large trajectory variations, and achieve state-of-the-art performance with fewer parameters.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Video generation, one of 14 directions in Diffusion models. Builds on 31 of its 37 references that are in the map. First posted on arXiv 27 Feb 2026.

Builds on

31 of 37 references.

Closest ancestors · 9

Same direction, newest first

  1. 2024LTX-Video: Realtime Video Latent Diffusion30 Dec
  2. 2024From Slow Bidirectional to Fast Autoregressive Video Diffusion Models10 Dec
  3. 2024AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers27 Nov
  4. 2024Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing25 Nov
  5. 2024Pyramidal Flow Matching for Efficient Video Generative Modeling8 Oct
  6. 2024StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation2 May
  7. 2023Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets25 Nov
  8. 2023I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models7 Nov
  9. 2023SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction31 Oct

Other references · 22

  1. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
  2. 2022Classifier-Free Diffusion Guidancecited by 5,717
  3. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,466
  4. 2022Flow Matching for Generative Modelingcited by 5,426
  5. 2023Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detectioncited by 3,274
  6. 2024SAM 2: Segment Anything in Images and Videoscited by 2,784
  7. 2023VBench: Comprehensive Benchmark Suite for Video Generative Modelscited by 1,755
  8. 2025VGGT: Visual Geometry Grounded Transformercited by 1,475
  9. 2017SuperPoint: Self-Supervised Interest Point Detection and Descriptioncited by 1,313
  10. 2024Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusioncited by 634
  11. 2023LightGlue: Local Feature Matching at Light Speedcited by 583
  12. 2024ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesiscited by 392
10 more
  1. 2025GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Controlcited by 325
  2. 2025ReCamMaster: Camera-Controlled Generative Rendering from A Single Videocited by 278
  3. 2024Shape of Motion: 4D Reconstruction from a Single Videocited by 247
  4. 2022Monocular Dynamic View Synthesis: A Reality Checkcited by 199
  5. 2024Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesiscited by 116
  6. 2024Wonderland: Navigating 3D Scenes from a Single Imagecited by 98
  7. 2025Voyager: Long-Range and World-Consistent Video Diffusion for Explorable 3D Scene Generationcited by 93
  8. 2025Uni3C: Unifying Precisely 3D-Enhanced Camera and Human Motion Controls for Video Generationcited by 75
  9. 2025Follow-Your-Creation: Empowering 4D Creation through Video Inpaintingcited by 61
  10. 2025Segment Any Motion in Videoscited by 34

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Not cited yet.

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Close in wording, no citation either way

  1. 2026CameraNoise: Enabling Faithful Camera Control in Video Diffusion through Geometry-Flow-Guided Noise Warping
  2. 2026SierpinskiCam: Camera-Controlled Video Retaking with Sierpinski Triangle Pattern Cues
  3. 2023MotionEditor: Editing Video Motion via Content-Aware Diffusion
  4. 2025BulletTime: Decoupled Control of Time and Camera Pose for Video Generation
  5. 2026SimInsert: Seamless Video Object Insertion via Regional Sparse Attention Fusion
  6. 2026CameraEditor: Camera-Controlled Image Editing via Video-Prior Sequential Modeling
  7. 2024Magic Fixup: Streamlining Photo Editing by Watching Dynamic Videos
  8. 2024I2VEdit: First-Frame-Guided Video Editing via Image-to-Video Diffusion Models