SpaceDG is the first large-scale benchmark dataset (~1M QA pairs) simulating nine visual degradations in 3DGS-rendered scenes to measure and improve spatial intelligence robustness in MLLMs.
3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42(4), July 2023
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GuardMarkGS unifies watermarking and adversarial edit deterrence into a single optimization framework for protecting 3D Gaussian Splatting assets.
ConFixGS repairs feedforward 3D Gaussian Splatting with confidence-aware diffusion priors, delivering up to 3.68 dB PSNR gains and halved FID scores on Waymo, nuScenes, and KITTI novel view synthesis tasks.
AEGIR introduces explicit area-emitter modeling inside a relightable Gaussian Splatting pipeline together with a differentiable deferred renderer using multiple importance sampling and regularization to improve lighting-material decomposition.
A quota-governor for Gaussian Splatting that tracks a quadratic target point count by adjusting existing hyperparameters, reaching the target by 15k iterations without hard cutoffs for fairer evaluations.
citing papers explorer
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SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation
SpaceDG is the first large-scale benchmark dataset (~1M QA pairs) simulating nine visual degradations in 3DGS-rendered scenes to measure and improve spatial intelligence robustness in MLLMs.
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GuardMarkGS: Unified Ownership Tracing and Edit Deterrence for 3D Gaussian Splatting
GuardMarkGS unifies watermarking and adversarial edit deterrence into a single optimization framework for protecting 3D Gaussian Splatting assets.
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ConFixGS: Learning to Fix Feedforward 3D Gaussian Splatting with Confidence-Aware Diffusion Priors in Driving Scenes
ConFixGS repairs feedforward 3D Gaussian Splatting with confidence-aware diffusion priors, delivering up to 3.68 dB PSNR gains and halved FID scores on Waymo, nuScenes, and KITTI novel view synthesis tasks.
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AEGIR: Modeling Area Emitters for Indoor Inverse Rendering using Gaussian Splatting
AEGIR introduces explicit area-emitter modeling inside a relightable Gaussian Splatting pipeline together with a differentiable deferred renderer using multiple importance sampling and regularization to improve lighting-material decomposition.
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Smart target point control for Gaussian Splatting methods
A quota-governor for Gaussian Splatting that tracks a quadratic target point count by adjusting existing hyperparameters, reaching the target by 15k iterations without hard cutoffs for fairer evaluations.