CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation
On the map: Diffusion models → Video generation
Abstract (arXiv)
Recently video diffusion models have emerged as expressive generative tools for high-quality video content creation readily available to general users. However, these models often do not offer precise control over camera poses for video generation, limiting the expression of cinematic language and user control. To address this issue, we introduce CamCo, which allows fine-grained Camera pose Control for image-to-video generation. We equip a pre-trained image-to-video generator with accurately parameterized camera pose input using Pl"ucker coordinates. To enhance 3D consistency in the videos produced, we integrate an epipolar attention module in each attention block that enforces epipolar constraints to the feature maps. Additionally, we fine-tune CamCo on real-world videos with camera poses estimated through structure-from-motion algorithms to better synthesize object motion. Our experiments show that CamCo significantly improves 3D consistency and camera control capabilities compared to previous models while effectively generating plausible object motion. Project page: https://ir1d.github.io/CamCo/
Key facts. Cited by 163 papers in the map (data through 7 Oct 2026). Placed in Video generation, one of 14 directions in Diffusion models. Builds on 50 of its 63 references that are in the map. First posted on arXiv 4 Jun 2024.
Builds on
50 of 63 references.
Closest ancestors · 11
Same direction, newest first
- 2024CameraCtrl: Enabling Camera Control for Text-to-Video Generation2 Apr
- 2024Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition21 Mar
- 2024Latte: Latent Diffusion Transformer for Video Generation5 Jan
- 2024VASE: Object-Centric Appearance and Shape Manipulation of Real Videos4 Jan
- 2023SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models28 Nov
- 2023Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets25 Nov
- 2023VideoCrafter1: Open Diffusion Models for High-Quality Video Generation30 Oct
- 2023AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning10 Jul
- 2023Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models18 Apr
- 2023Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators23 Mar
- 2022Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation22 Dec
Other references · 39
- 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
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- 2022Scalable Diffusion Models with Transformerscited by 5,931
- 2022Classifier-Free Diffusion Guidancecited by 5,717
- 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,466
- 2023SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesiscited by 4,290
- 2021Zero-Shot Text-to-Image Generationcited by 4,276
- 2022LAION-5B: An open large-scale dataset for training next generation image-text modelscited by 4,131
- 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,006
- 2022Elucidating the Design Space of Diffusion-Based Generative Modelscited by 2,994
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- 2022Magic3D: High-Resolution Text-to-3D Content Creationcited by 1,285
- 2018Towards Accurate Generative Models of Video: A New Metric & Challengescited by 1,204
- 2021Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrievalcited by 1,175
- 2023DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creationcited by 837
- 2023GLIGEN: Open-Set Grounded Text-to-Image Generationcited by 774
- 2023Objaverse-XL: A Universe of 10M+ 3D Objectscited by 767
- 2021Depth-supervised NeRF: Fewer Views and Faster Training for Freecited by 732
- 2023pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstructioncited by 668
- 2021VideoGPT: Video Generation using VQ-VAE and Transformerscited by 651
- 2023MotionCtrl: A Unified and Flexible Motion Controller for Video Generationcited by 568
- 2023Zero123++: a Single Image to Consistent Multi-view Diffusion Base Modelcited by 516
- 2024SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusioncited by 364
- 2022MAGVIT: Masked Generative Video Transformercited by 341
- 2021Light Field Networks: Neural Scene Representations with Single-Evaluation Renderingcited by 330
- 2022NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360deg Viewscited by 148
- 2023Consistent View Synthesis with Pose-Guided Diffusion Modelscited by 117
- 2023Compositional 3D Scene Generation using Locally Conditioned Diffusioncited by 101
- 2023GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphscited by 96
- 2022ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wildcited by 90
- 2024IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generationcited by 84
- 2024SPAD : Spatially Aware Multiview Diffuserscited by 62
- 2023SceneWiz3D: Towards Text-guided 3D Scene Compositioncited by 54
- 2024Comp4D: LLM-Guided Compositional 4D Scene Generationcited by 50
- 2024VideoMV: Consistent Multi-View Generation Based on Large Video Generative Modelcited by 45
- 2023Taming Mode Collapse in Score Distillation for Text-to-3D Generationcited by 35
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Citing papers per year: 2024: 34; 2025: 74; 2026: 55.
163 papers.
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