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VMem: Consistent Interactive Video Scene Generation with Surfel-Indexed View Memory

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We propose a novel memory module for building video generators capable of interactively exploring environments. Previous approaches have achieved similar results either by out-painting 2D views of a scene while incrementally reconstructing its 3D geometry-which quickly accumulates errors-or by using video generators with a short context window, which struggle to maintain scene coherence over the long term. To address these limitations, we introduce Surfel-Indexed View Memory (VMem), a memory module that remembers past views by indexing them geometrically based on the 3D surface elements (surfels) they have observed. VMem enables efficient retrieval of the most relevant past views when generating new ones. By focusing only on these relevant views, our method produces consistent explorations of imagined environments at a fraction of the computational cost required to use all past views as context. We evaluate our approach on challenging long-term scene synthesis benchmarks and demonstrate superior performance compared to existing methods in maintaining scene coherence and camera control.

Runjia Li, Philip Torr, Andrea Vedaldi, Tomas Jakab• 2025

Related benchmarks

TaskDatasetResultRank
3D Scene GenerationWorldScore
Camera Control0.998
33
Single-view Novel View SynthesisDL3DV Short-term (50th frame)
PSNR16.98
13
Single-view Novel View SynthesisDL3DV (Long-term (200th frame))
PSNR12.28
13
Single-view Novel View SynthesisRealEstate10K Long-term, 200th frame 84 (test)
PSNR14.91
13
Single-view Novel View SynthesisRealEstate10K Short-term, 50th frame 84 (test)
PSNR18.19
13
Image-to-Video GenerationRealEstate 122 (test)
PSNR14.62
6
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