Geo-Align applies RL with a perceptual reward derived from 3D camera trajectory estimation to improve controllability and fidelity in video generation without paired training data.
Epipolar geometry improves video generation models, 2025
4 Pith papers cite this work. Polarity classification is still indexing.
fields
cs.CV 4years
2026 4verdicts
UNVERDICTED 4representative citing papers
GeoFlow adds a geometry-consistency reward based on rigid camera flow and object appearance preservation, integrated via reinforcement fine-tuning to improve geometric coherence in video generation.
VideoGPA distills geometry priors via self-supervised DPO to enhance 3D consistency, temporal stability, and motion coherence in video diffusion models.
AnyCity reconstructs coherent 3D Gaussian urban scenes from sparse aerial views in one feed-forward pass by anchoring observation-supported geometry and applying gated residual updates conditioned on an aerial-adapted video diffusion prior.
citing papers explorer
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Geo-Align: Video Generation Alignment via Metric Geometry Reward
Geo-Align applies RL with a perceptual reward derived from 3D camera trajectory estimation to improve controllability and fidelity in video generation without paired training data.
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GeoFlow: Enforcing Implicit Geometric Consistency in Video Generation
GeoFlow adds a geometry-consistency reward based on rigid camera flow and object appearance preservation, integrated via reinforcement fine-tuning to improve geometric coherence in video generation.
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VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation
VideoGPA distills geometry priors via self-supervised DPO to enhance 3D consistency, temporal stability, and motion coherence in video diffusion models.
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Feed-Forward Gaussian Splatting from Sparse Aerial Views
AnyCity reconstructs coherent 3D Gaussian urban scenes from sparse aerial views in one feed-forward pass by anchoring observation-supported geometry and applying gated residual updates conditioned on an aerial-adapted video diffusion prior.