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cs.CV2026

SuperFlex: Deformable Superquadrics for Point Cloud Decomposition

Gabriel Tavernini, Elisabetta Fedele, Tiago Novello +3

Superquadrics have proven to provide a compact, geometrically meaningful representation for 3D objects. However, existing methods suffer from limited reconstruction accuracy, are r…

cs.CV2026

Fishbone: From One 3D Asset to a Million Controllable Edits

Yumeng He, Xiaoying Wang, Peihao Li +7

Large-scale controllable 3D assets are critical for computer graphics, embodied AI, robotics, and interactive content creation, yet creating diverse 3D assets remains challenging d…

cs.CV2026

FunRec: Reconstructing Functional 3D Scenes from Egocentric Interaction Videos

Alexandros Delitzas, Chenyangguang Zhang, Alexey Gavryushin +8

We present FunRec, a method for reconstructing functional 3D digital twins of indoor scenes directly from egocentric RGB-D interaction videos. Unlike existing methods on articulate…

cs.CV2025

Video Perception Models for 3D Scene Synthesis

Rui Huang, Guangyao Zhai, Zuria Bauer +5

Traditionally, 3D scene synthesis requires expert knowledge and significant manual effort. Automating this process could greatly benefit fields such as architectural design, roboti…

cs.CV2025

SceneCrafter: Controllable Multi-View Driving Scene Editing

Zehao Zhu, Yuliang Zou, Chiyu Max Jiang +9

Simulation is crucial for developing and evaluating autonomous vehicle (AV) systems. Recent literature builds on a new generation of generative models to synthesize highly realisti…

cs.CV2025

CL-Splats: Continual Learning of Gaussian Splatting with Local Optimization

Jan Ackermann, Jonas Kulhanek, Shengqu Cai +5

In dynamic 3D environments, accurately updating scene representations over time is crucial for applications in robotics, mixed reality, and embodied AI. As scenes evolve, efficient…

cs.CV2025

Robust Human Registration with Body Part Segmentation on Noisy Point Clouds

Kai Lascheit, Daniel Barath, Marc Pollefeys +2

Registering human meshes to 3D point clouds is essential for applications such as augmented reality and human-robot interaction but often yields imprecise results due to noise and…

cs.CV2025

SuperDec: 3D Scene Decomposition with Superquadric Primitives

Elisabetta Fedele, Boyang Sun, Leonidas Guibas +2

We present SuperDec, an approach for creating compact 3D scene representations via decomposition into superquadric primitives. While most recent works leverage geometric primitives…

cs.CV2025

Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields

Shijie Zhou, Hui Ren, Yijia Weng +8

Recent advancements in 2D and multimodal models have achieved remarkable success by leveraging large-scale training on extensive datasets. However, extending these achievements to…

cs.CV2025

SplatTalk: 3D VQA with Gaussian Splatting

Anh Thai, Songyou Peng, Kyle Genova +2

Language-guided 3D scene understanding is important for advancing applications in robotics, AR/VR, and human-computer interaction, enabling models to comprehend and interact with 3…