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• VGGRPO introduces a Latent Geometry Model (LGM) that stitches video diffusion latents to geometry foundation models, enabling direct decoding of scene geometry from the latent space.method 95%
• VGGRPO naturally extends to dynamic scenes by constructing the LGM from a geometry model with 4D reconstruction capability, overcoming static-scene limitations of prior methods.method 95%
• VGGRPO performs latent-space Group Relative Policy Optimization (GRPO) with two complementary rewards: camera motion smoothness and geometry reprojection consistency.method 95%
• VGGRPO improves camera stability, geometry consistency, and overall quality on both static and dynamic benchmarks.result 90%
• VGGRPO eliminates costly VAE decoding for geometry-guided reinforcement, making the approach efficient and flexible.technical 90%
• Prior geometry-aware alignment methods are limited to static scenes and rely on RGB-space rewards that require repeated VAE decoding, incurring substantial compute overhead.limitation 95%
• RGB-based geometric rewards are sensitive to decoding noise and low-level pixel variations, weakening optimization signals.limitation 90%

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