activity
20242026
most citedPUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splatting

2 citations · 2 across the 6 of their papers we have counts for

collaborators

9 papers

cs.CV2026

GOFish: Full Field-of-View Gaussian Splatting and Mesh Extraction

Allen Tu, Meher Gitika Karumuri, Shifan Zhu +5

Robots, autonomous vehicles, and consumer 360° cameras use fisheye lenses for wide fields of view (FoVs). Simulation-ready digital twins require photorealistic rendering across the…

cs.CV2026

UniBRep: Learning Unified Geometry and Topology for Image-conditioned B-Rep Generation

Haiyang Ying, Allen Tu, Jiaye Wu +2

Generating a boundary representation (B-rep) conditioned on a single image requires faithful reconstruction of geometry, valid topology, and support for complex shapes. We present…

cs.CV2026

SceneOrchestra: Efficient Agentic 3D Scene Synthesis via Full Tool-Call Trajectory Generation

Yun He, Kelin Yu, Matthias Zwicker

Recent agentic frameworks for 3D scene synthesis have advanced realism and diversity by integrating heterogeneous generation and editing tools. These tools are organized into workf…

cs.CV2025

LangDriveCTRL: Natural Language Controllable Driving Scene Editing with Multi-modal Agents

Yun He, Francesco Pittaluga, Ziyu Jiang +3

LangDriveCTRL is a natural-language-controllable framework for editing real-world driving videos to synthesize diverse traffic scenarios. It represents each video as an explicit 3D…

cs.CV2025

SplatSuRe: Selective Super-Resolution for Multi-view Consistent 3D Gaussian Splatting

Pranav Asthana, Alex Hanson, Allen Tu +3

3D Gaussian Splatting (3DGS) enables high-quality novel view synthesis, motivating interest in generating higher-resolution renders than those available during training. A natural…

cs.GR2025

SpeeDe3DGS: Speedy Deformable 3D Gaussian Splatting with Temporal Pruning and Motion Grouping

Allen Tu, Haiyang Ying, Alex Hanson +3

Dynamic extensions of 3D Gaussian Splatting (3DGS) achieve high-quality reconstructions through neural motion fields, but per-Gaussian neural inference makes these models computati…

cs.CV2025

SketchSplat: 3D Edge Reconstruction via Differentiable Multi-view Sketch Splatting

Haiyang Ying, Matthias Zwicker

Edges are one of the most basic parametric primitives to describe structural information in 3D. In this paper, we study parametric 3D edge reconstruction from calibrated multi-view…

cs.CV2024

Speedy-Splat: Fast 3D Gaussian Splatting with Sparse Pixels and Sparse Primitives

Alex Hanson, Allen Tu, Geng Lin +3

3D Gaussian Splatting (3D-GS) is a recent 3D scene reconstruction technique that enables real-time rendering of novel views by modeling scenes as parametric point clouds of differe…

cs.CV2024★ 2 cited

PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splatting

Alex Hanson, Allen Tu, Vasu Singla +3

Recent advances in novel view synthesis have enabled real-time rendering speeds with high reconstruction accuracy. 3D Gaussian Splatting (3D-GS), a foundational point-based paramet…