نسخة أولية وصول مفتوح
Efficient Neural Field Learning via Adaptive Coverage and Focused Sampling
Implicit neural representations (INRs) provide a flexible framework for modeling high-dimensional continuous fields, but their training is often inefficient due to uniform subsampling that ignores spatial heterogeneity. Existing adaptive sampling methods partially address this issue by prioritizing high-error samples, …