GenNVS: Geometry-enhanced Novel View Synthesis via Disentangled 3D Prior

arXiv:2609.34579 · cs.CV, cs.AI · Submitted 2026-09-28 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-28

Updated: 2026-09-29

Terminology

• Alignment — 28× in this paper · explained in 1 episode
• Consistency — 16× in this paper · explained in 3 episodes
• Diffusion Model — 16× in this paper · explained in 8 episodes
• Gaussian Splatting — 10× in this paper · explained in 4 episodes
• Diffusion Models — 8× in this paper · explained in 6 episodes
• Fidelity — 8× in this paper · explained in 2 episodes
• 3D Gaussian Splatting — 7× in this paper · explained in 2 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Transformer — 6× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Benchmark — 4× in this paper · explained in 2 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Ablation Studies — 3× in this paper · explained in 1 episode
• Point Clouds — 3× in this paper · explained in 2 episodes
• AdamW Optimizer — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Flow Matching — 2× in this paper · explained in 8 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• alpha — 2× in this paper · explained in 1 episode
• 3D Gaussian Splatting (3DGS) — 1× in this paper · explained in 4 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Composite Loss Function — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Diffusion Process — 1× in this paper · explained in 2 episodes
• Entanglement — 1× in this paper · explained in 4 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Rectified Flow — 1× in this paper · explained in 3 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• ReCamMaster: Camera-Controlled Generative Rendering from A Single Video
• CameraCtrl: Enabling Camera Control for Text-to-Video Generation
• ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis
• SAM 3D: 3Dfy Anything in Images
• LRM: Large Reconstruction Model for Single Image to 3D
• AnySplat: Feed-forward 3D Gaussian Splatting from Unconstrained Views
• WorldMirror: Universal 3D World Reconstruction with Any-Prior Prompting
• VMem: Consistent Interactive Video Scene Generation with Surfel-Indexed View Memory
• Qwen2.5-VL Technical Report
• Wan: Open and Advanced Large-Scale Video Generative Models
• Flow Matching for Generative Modeling
• Stable Virtual Camera: Generative View Synthesis with Diffusion Models
• SpatialVID: A Large-Scale Video Dataset with Spatial Annotations
• Decoupled Weight Decay Regularization

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