MeshFIM enables local low-poly mesh editing by autoregressively filling target regions conditioned on context, using boundary markers, positional embeddings, and a gated geometry encoder to enforce attachment, topology, and region limits.
Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
ObjView-Bench disentangles omnidirectional self-occlusion, saturation difficulty, and set-cover planning difficulty, then shows that budget regimes and reachable-view constraints change planner rankings and failure modes across classical, learned, and hybrid methods.
citing papers explorer
-
MeshFIM: Local Low-Poly Mesh Editing via Fill-in-the-Middle Autoregressive Generation
MeshFIM enables local low-poly mesh editing by autoregressively filling target regions conditioned on context, using boundary markers, positional embeddings, and a gated geometry encoder to enforce attachment, topology, and region limits.
-
ObjView-Bench: Rethinking Difficulty and Deployment for Object-Centric View Planning
ObjView-Bench disentangles omnidirectional self-occlusion, saturation difficulty, and set-cover planning difficulty, then shows that budget regimes and reachable-view constraints change planner rankings and failure modes across classical, learned, and hybrid methods.