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Novel view extrapolation with video diffusion priors

4 Pith papers cite this work. Polarity classification is still indexing.

4 Pith papers citing it

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cs.CV 4

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2026 3 2025 1

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representative citing papers

SimScale: Learning to Drive via Real-World Simulation at Scale

cs.CV · 2025-11-28 · conditional · novelty 6.0

SimScale synthesizes unseen driving states from real logs via neural rendering and reactive environments, generates pseudo-expert trajectories, and shows that co-training on real plus simulated data improves planning robustness and generalization on real benchmarks, with gains scaling by simulation

Efficient 3D Content Reconstruction and Generation

cs.CV · 2026-05-18 · unverdicted · novelty 5.0

Presents Instant3D for rapid text/image-to-3D generation via multi-view diffusion plus feed-forward reconstruction, and FastMap for 10x faster structure-from-motion with comparable accuracy.

citing papers explorer

Showing 4 of 4 citing papers.

  • Warp-as-History: Generalizable Camera-Controlled Video Generation from One Training Video cs.CV · 2026-05-14 · unverdicted · none · ref 6

    Warp-as-History enables zero-shot camera trajectory following in frozen video models by supplying camera-warped pseudo-history, with single-video LoRA fine-tuning improving generalization to unseen videos.

  • Lifting Unlabeled Internet-level Data for 3D Scene Understanding cs.CV · 2026-04-02 · unverdicted · none · ref 67

    Unlabeled web videos processed by designed data engines generate effective training data that yields strong zero-shot and finetuned performance on 3D detection, segmentation, VQA, and navigation.

  • SimScale: Learning to Drive via Real-World Simulation at Scale cs.CV · 2025-11-28 · conditional · none · ref 59

    SimScale synthesizes unseen driving states from real logs via neural rendering and reactive environments, generates pseudo-expert trajectories, and shows that co-training on real plus simulated data improves planning robustness and generalization on real benchmarks, with gains scaling by simulation

  • Efficient 3D Content Reconstruction and Generation cs.CV · 2026-05-18 · unverdicted · none · ref 138

    Presents Instant3D for rapid text/image-to-3D generation via multi-view diffusion plus feed-forward reconstruction, and FastMap for 10x faster structure-from-motion with comparable accuracy.