Vector Scaffolding uses Interior Gradient Aggregation, Progressive Stratification, and Rapid Inflation Scheduling to achieve 2.5x faster optimization and up to 1.4 dB higher PSNR in differentiable vectorization.
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18 Pith papers cite this work, alongside 4,766 external citations. Polarity classification is still indexing.
18
Pith papers citing it
4,766
external citations · Crossref
years
2026 18representative citing papers
AdpSplit adaptively splits Gaussians using pixel-error statistics to reduce 3DGS training time by 9-22% without quality loss.
S2C-3D reconstructs complete high-fidelity 3D scenes from as few as 6-8 images by finetuning a diffusion model on scene data, applying consistency-conditioned sampling, and planning trajectories for full coverage.
TouchPort collapses the multi-stage process of discovering, consenting to, and syncing mixed reality encounters into one embodied handshake-and-pull gesture.
SSD-GS decomposes 3D Gaussian Splatting reflectance into diffuse, specular, shadow, and subsurface scattering using a dipole scattering module, occlusion-aware shadows, and anisotropic Fresnel specular for photorealistic novel lighting.
Free-Range Gaussians uses flow matching over Gaussian parameters to predict non-grid-aligned 3D Gaussians from multi-view images, enabling synthesis of plausible content in unobserved regions with fewer primitives than grid-aligned methods.
PG-3DGS couples 3D Gaussian Splatting with differentiable physics so that optimized shapes satisfy both visual fidelity and physical objectives such as pouring and aerodynamic lift, with real-world 3D-printed validation.
A conditional point-cloud flow matching model maps motor actuation to 3D geometry of tendon-driven continuum robots and outperforms prior self-modeling methods on simulated and real 2- and 3-module hardware.
PropSplat uses optimized 3D Gaussians initialized on transmitter-receiver paths to achieve lower RMSE than NeRF2, GSRF, and WRF-GS+ on outdoor drive-test and indoor BLE datasets while enabling map-free RF reconstruction.
A generative-AI pipeline dynamically generates and anchors virtual assets to match the shape of physical props, enabling adaptive passive haptics in MR that users rate higher in realism, immersion, and enjoyment than static baselines.
Any3DAvatar reconstructs full-head 3D Gaussian avatars from one image via one-step denoising on a Plücker-aware scaffold plus auxiliary view supervision, beating prior single-image methods on fidelity while running substantially faster.
Avatar appearance and facial presentation systematically bias perceptual judgments of synthesized co-speech gestures.
A privacy-preserving age verification approach for the web is proposed by adapting open cryptographic standards like Privacy Pass to let users prove age via trusted providers without special software or centralized data collection.
FreeTimeGS++ improves 4D Gaussian Splatting by using gated marginalization and neural velocity fields to achieve more stable dynamic scene representations with lower run-to-run variance.
A hybrid Gaussian-hash-grid representation with latent features and hard opacity falloffs reconstructs scenes more accurately than prior Gaussian splatting methods while using an order of magnitude fewer primitives.
MSGS augments 3D Gaussian Splatting with spectral radiance via per-band spherical harmonics and dual-loss supervision to improve multispectral view synthesis quality and consistency over RGB-only baselines.
Gaussian primitives compress 3D Taylor-Green vortex flows at ratios over 1000x while preserving velocity but degrading enstrophy, with anisotropic extensions recovering small-scale vortical structures better than baseline or other variants.
A practical workflow was developed and applied to create a highly detailed 3D digital model of a complex Baroque cathedral using multi-modal photogrammetry and LIDAR for cultural heritage preservation.
citing papers explorer
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Vector Scaffolding: Inter-Scale Orchestration for Differentiable Image Vectorization
Vector Scaffolding uses Interior Gradient Aggregation, Progressive Stratification, and Rapid Inflation Scheduling to achieve 2.5x faster optimization and up to 1.4 dB higher PSNR in differentiable vectorization.
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AdpSplit: Error-Driven Adaptive Splitting for Faster Geometry Discovery in 3D Gaussian Splatting
AdpSplit adaptively splits Gaussians using pixel-error statistics to reduce 3DGS training time by 9-22% without quality loss.
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Sparse-to-Complete: From Sparse Image Captures to Complete 3D Scenes
S2C-3D reconstructs complete high-fidelity 3D scenes from as few as 6-8 images by finetuning a diffusion model on scene data, applying consistency-conditioned sampling, and planning trajectories for full coverage.
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Allow Me Into Your Dream: A Handshake-and-Pull Protocol for Sharing Mixed Realities in Spontaneous Encounters
TouchPort collapses the multi-stage process of discovering, consenting to, and syncing mixed reality encounters into one embodied handshake-and-pull gesture.
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SSD-GS: Scattering and Shadow Decomposition for Relightable 3D Gaussian Splatting
SSD-GS decomposes 3D Gaussian Splatting reflectance into diffuse, specular, shadow, and subsurface scattering using a dipole scattering module, occlusion-aware shadows, and anisotropic Fresnel specular for photorealistic novel lighting.
-
Free-Range Gaussians: Non-Grid-Aligned Generative 3D Gaussian Reconstruction
Free-Range Gaussians uses flow matching over Gaussian parameters to predict non-grid-aligned 3D Gaussians from multi-view images, enabling synthesis of plausible content in unobserved regions with fewer primitives than grid-aligned methods.
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PG-3DGS: Optimizing 3D Gaussian Splatting to Satisfy Physics Objectives
PG-3DGS couples 3D Gaussian Splatting with differentiable physics so that optimized shapes satisfy both visual fidelity and physical objectives such as pouring and aerodynamic lift, with real-world 3D-printed validation.
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Continuum Robot Modeling with Action Conditioned Flow Matching
A conditional point-cloud flow matching model maps motor actuation to 3D geometry of tendon-driven continuum robots and outperforms prior self-modeling methods on simulated and real 2- and 3-module hardware.
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PropSplat: Map-Free RF Field Reconstruction via 3D Gaussian Propagation Splatting
PropSplat uses optimized 3D Gaussians initialized on transmitter-receiver paths to achieve lower RMSE than NeRF2, GSRF, and WRF-GS+ on outdoor drive-test and indoor BLE datasets while enabling map-free RF reconstruction.
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Prop-Chromeleon: Adaptive Haptic Props in Mixed Reality through Generative Artificial Intelligence
A generative-AI pipeline dynamically generates and anchors virtual assets to match the shape of physical props, enabling adaptive passive haptics in MR that users rate higher in realism, immersion, and enjoyment than static baselines.
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Any3DAvatar: Fast and High-Quality Full-Head 3D Avatar Reconstruction from Single Portrait Image
Any3DAvatar reconstructs full-head 3D Gaussian avatars from one image via one-step denoising on a Plücker-aware scaffold plus auxiliary view supervision, beating prior single-image methods on fidelity while running substantially faster.
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Reality Check: How Avatar and Face Representation Affect the Perceptual Evaluation of Synthesized Gestures
Avatar appearance and facial presentation systematically bias perceptual judgments of synthesized co-speech gestures.
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Age Verification in the Web -- Holy Grail to Control Access to Restricted Content
A privacy-preserving age verification approach for the web is proposed by adapting open cryptographic standards like Privacy Pass to let users prove age via trusted providers without special software or centralized data collection.
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FreeTimeGS++: Secrets of Dynamic Gaussian Splatting and Their Principles
FreeTimeGS++ improves 4D Gaussian Splatting by using gated marginalization and neural velocity fields to achieve more stable dynamic scene representations with lower run-to-run variance.
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Hybrid Latents: Geometry-Appearance-Aware Surfel Splatting
A hybrid Gaussian-hash-grid representation with latent features and hard opacity falloffs reconstructs scenes more accurately than prior Gaussian splatting methods while using an order of magnitude fewer primitives.
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MSGS: Multispectral 3D Gaussian Splatting
MSGS augments 3D Gaussian Splatting with spectral radiance via per-band spherical harmonics and dual-loss supervision to improve multispectral view synthesis quality and consistency over RGB-only baselines.
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Gaussian Field Representations for Turbulent Flow: Compression, Scale Separation, and Physical Fidelity
Gaussian primitives compress 3D Taylor-Green vortex flows at ratios over 1000x while preserving velocity but degrading enstrophy, with anisotropic extensions recovering small-scale vortical structures better than baseline or other variants.
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Large-Scale Photogrammetric Documentation of St. John's Co-Cathedral: A Workflow for Cultural Heritage Preservation
A practical workflow was developed and applied to create a highly detailed 3D digital model of a complex Baroque cathedral using multi-modal photogrammetry and LIDAR for cultural heritage preservation.