mlsanityData to 7 Oct 2026

Novel View Synthesis from A Few Glimpses via Test-Time Natural Video Completion

arXiv 2511.17932 ↗First posted 22 Nov 2025cs.CV cs.GRcited by 4

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Abstract (arXiv)

Given just a few glimpses of a scene, can you imagine the movie playing out as the camera glides through it? That's the lens we take on sparse-input novel view synthesis, not only as filling spatial gaps between widely spaced views, but also as completing a natural video unfolding through space. We recast the task as test-time natural video completion, using powerful priors from pretrained video diffusion models to hallucinate plausible in-between views. Our zero-shot, generation-guided framework produces pseudo views at novel camera poses, modulated by an uncertainty-aware mechanism for spatial coherence. These synthesized frames densify supervision for 3D Gaussian Splatting (3D-GS) for scene reconstruction, especially in under-observed regions. An iterative feedback loop lets 3D geometry and 2D view synthesis inform each other, improving both the scene reconstruction and the generated views. The result is coherent, high-fidelity renderings from sparse inputs without any scene-specific training or fine-tuning. On LLFF, DTU, DL3DV, and MipNeRF-360, our method significantly outperforms strong 3D-GS baselines under extreme sparsity.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 57 of its 67 references that are in the map. First posted on arXiv 22 Nov 2025.

Builds on

57 of 67 references.

References · 57

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38 more
  1. 2024HunyuanVideo: A Systematic Framework For Large Video Generative Modelscited by 1,597
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  3. 2023DUSt3R: Geometric 3D Vision Made Easycited by 1,526
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  16. 2021Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesiscited by 464
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 4.

4 papers.

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  1. 2026FrameCrafter: Novel View Synthesis as Video Completion
  2. 2026RoGe: Novel View Synthesis via End-to-End Implicit Reconstruction and Generation
  3. 2026Stabilizing Camera-Controlled Novel View Synthesis at Inference Time
  4. 2026DeblurNVS: Geometric Latent Diffusion for Novel View Synthesis from Sparse Motion-Blurred Images
  5. 2025SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations
  6. 2025Reconstruct, Inpaint, Test-Time Finetune: Dynamic Novel-view Synthesis from Monocular Videos
  7. 2025Look Beyond: Two-Stage Scene View Generation via Panorama and Video Diffusion
  8. 2022SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction