2 papers
cs.LG2026
Distance Marching for Generative Modeling
Zimo Wang, Ishit Mehta, Haolin Lu +4
Time-unconditional generative models learn time-independent denoising vector fields. But without time conditioning, the same noisy input may correspond to multiple noise levels and…
cs.CV2025
HotSpot: Signed Distance Function Optimization with an Asymptotically Sufficient Condition
Zimo Wang, Cheng Wang, Taiki Yoshino +3
We propose a method, HotSpot, for optimizing neural signed distance functions. Existing losses, such as the eikonal loss, act as necessary but insufficient constraints and cannot g…