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  1. Home
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  3. Catalyst4D: High-Fidelity 3D-to-4D Scene Editing via Dynamic
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Catalyst4D: High-Fidelity 3D-to-4D Scene Editing via Dynamic Propagation

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Viability
0.0/10

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Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: pending

Distribution: unknown

Source paper: Catalyst4D: High-Fidelity 3D-to-4D Scene Editing via Dynamic Propagation

PDF: https://arxiv.org/pdf/2603.12766v1

First buyer signal: unknown

Distribution channel: unknown

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Dimensions overall score 7.0

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Builds On This
Resonance4D: Frequency-Domain Motion Supervision for Preset-Free Physical Parameter Learning in 4D Dynamic Physical Scene Simulation
Score 4.0down
Builds On This
Variation-aware Flexible 3D Gaussian Editing
Score 5.0down
Builds On This
Phys4D: Fine-Grained Physics-Consistent 4D Modeling from Video Diffusion
Score 6.0down
Prior Work
Director: Instance-aware Gaussian Splatting for Dynamic Scene Modeling and Understanding
Score 7.0stable
Prior Work
ReconDrive: Fast Feed-Forward 4D Gaussian Splatting for Autonomous Driving Scene Reconstruction
Score 7.0stable
Prior Work
AutoWeather4D: Autonomous Driving Video Weather Conversion via G-Buffer Dual-Pass Editing
Score 7.0stable
Higher Viability
Mango-GS: Enhancing Spatio-Temporal Consistency in Dynamic Scenes Reconstruction using Multi-Frame Node-Guided 4D Gaussian Splatting
Score 8.0up
Competing Approach
TRACE: High-Fidelity 3D Scene Editing via Tangible Reconstruction and Geometry-Aligned Contextual Video Masking
Score 7.0stable

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