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paperarXivTrust 82 · PrimaryPublished 11h agoLive · 50m ago

SplatGuide: Geometric Priors from 3D Gaussians for Pose-Free Novel View Synthesis

Generating photorealistic novel views from unposed images requires both 3D geometric understanding and the ability to synthesize unseen content. A natural strategy combines feed-forward 3DGS reconstruction with multi-view diffusion. Yet prior pipelines extract at most one signal from the reconstruction, either pixel rendering or learned features, while none exploits per-Gaussian visibility for occlusion-aware reference selection. This *information disconnect* leaves renderable geometry, visibility cues, and learned features unused. SplatGuide closes this disconnect by reusing a single 3DGS sce

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  • FuzzySimilar title/name (fuzzy) · 84%liyupi/ai-guide

    Fuzzy title match (0.92): “SplatGuide: Geometric Priors from 3D Gaussians for Pose-Free” ≈ “liyupi/ai-guide”

  • FuzzyOverlapping authors or contributors · 62%bytedance/deer-flow

    Shared author/contributor keys: wang

  • FuzzyOverlapping authors or contributors · 62%ray-project/ray

    Shared author/contributor keys: wang

  • LinkedLinked via arxiv author · 85%Yejun Zhang

    SplatGuide: Geometric Priors from 3D Gaussians for Pose-Free Novel View Synthesis

  • LinkedLinked via arxiv author · 85%Zihan Wang

    SplatGuide: Geometric Priors from 3D Gaussians for Pose-Free Novel View Synthesis

  • LinkedLinked via arxiv author · 85%Wenxu Jia

    SplatGuide: Geometric Priors from 3D Gaussians for Pose-Free Novel View Synthesis

  • LinkedLinked via arxiv author · 85%Yihao Wang

    SplatGuide: Geometric Priors from 3D Gaussians for Pose-Free Novel View Synthesis

  • LinkedLinked via arxiv author · 85%Yuxin Hou

    SplatGuide: Geometric Priors from 3D Gaussians for Pose-Free Novel View Synthesis

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