VividCam: Learning Unconventional Camera Motions from Virtual Synthetic Videos

arXiv:2510.24904 · cs.CV · Submitted 2025-10-28 · Read on arXiv

cs.CV

Submitted: 2025-10-28

Updated: 2026-09-21

Project page: https://wuqiuche.github.io/VividCamDemoPage

Terminology

• Diffusion Model — 23× in this paper · explained in 8 episodes
• Diffusion Models — 16× in this paper · explained in 6 episodes
• Adaptation — 9× in this paper · explained in 1 episode
• Generative Model — 7× in this paper · explained in 2 episodes
• Generative Models — 7× in this paper · explained in 2 episodes
• Transformer — 7× in this paper · explained in 2 episodes
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Domain Shift — 2× in this paper · explained in 4 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Embeddings — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• LoRA Fine-Tuning — 1× in this paper · explained in 3 episodes

Sources

• SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints
• ReCamMaster: Camera-Controlled Generative Rendering from A Single Video
• Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
• Boosting Camera Motion Control for Video Diffusion Transformers
• 3DTrajMaster: Mastering 3D Trajectory for Multi-Entity Motion in Video Generation
• Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation
• AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
• CameraCtrl: Enabling Camera Control for Text-to-Video Generation
• CameraCtrl II: Dynamic Scene Exploration via Camera-controlled Video Diffusion Models
• CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
• Training-free Camera Control for Video Generation
• MotionClone: Training-Free Motion Cloning for Controllable Video Generation
• ChatCam: Empowering Camera Control through Conversational AI
• SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers
• Latte: Latent Diffusion Transformer for Video Generation
• ControlNeXt: Powerful and Efficient Control for Image and Video Generation
• Free-Form Motion Control: Controlling the 6D Poses of Camera and Objects in Video Generation
• Make-A-Video: Text-to-Video Generation without Text-Video Data
• Score-Based Generative Modeling through Stochastic Differential Equations
• DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion

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