activity
20242026
most citedSceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model

1 citations · 1 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV2026

JRM: Joint Reconstruction Model for Multiple Objects without Alignment

Qirui Wu, Yawar Siddiqui, Duncan Frost +6

Object-centric reconstruction seeks to recover the 3D structure of a scene through composition of independent objects. While this independence can simplify modeling, it discards st…

cs.CV2026

ShapeR: Robust Conditional 3D Shape Generation from Casual Captures

Yawar Siddiqui, Duncan Frost, Samir Aroudj +9

Recent advances in 3D shape generation have achieved impressive results, but most existing methods rely on clean, unoccluded, and well-segmented inputs. Such conditions are rarely…

cs.CV2026

ReScene4D: Temporally Consistent Semantic Instance Segmentation of Evolving Indoor 3D Scenes

Emily Steiner, Jianhao Zheng, Henry Howard-Jenkins +2

Indoor environments evolve as objects move, appear, or leave the scene. Capturing these dynamics requires maintaining temporally consistent instance identities across intermittentl…

cs.CV2025

ART: Articulated Reconstruction Transformer

Zizhang Li, Cheng Zhang, Zhengqin Li +7

We introduce ART, Articulated Reconstruction Transformer -- a category-agnostic, feed-forward model that reconstructs complete 3D articulated objects from only sparse, multi-state…

cs.GR2025

VertexRegen: Mesh Generation with Continuous Level of Detail

Xiang Zhang, Yawar Siddiqui, Armen Avetisyan +3

We introduce VertexRegen, a novel mesh generation framework that enables generation at a continuous level of detail. Existing autoregressive methods generate meshes in a partial-to…

cs.CV2025

Human-in-the-Loop Local Corrections of 3D Scene Layouts via Infilling

Christopher Xie, Armen Avetisyan, Henry Howard-Jenkins +5

We present a novel human-in-the-loop approach to estimate 3D scene layout that uses human feedback from an egocentric standpoint. We study this approach through introduction of a n…

cs.CV2024★ 1 cited

SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model

Armen Avetisyan, Christopher Xie, Henry Howard-Jenkins +11

We introduce SceneScript, a method that directly produces full scene models as a sequence of structured language commands using an autoregressive, token-based approach. Our propose…