SparseGen replaces dense volumetric or triplane representations with compact learned sparse 3D anchor queries expanded into Gaussians, trained via rectified-flow image reconstruction without 3D supervision to achieve faster, less biased image-to-3D generation.
Com- mon Objects in 3D: Large-Scale Learning and Evaluation of Real-Life 3D Category Reconstruction
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias
SparseGen replaces dense volumetric or triplane representations with compact learned sparse 3D anchor queries expanded into Gaussians, trained via rectified-flow image reconstruction without 3D supervision to achieve faster, less biased image-to-3D generation.