Models for ControlGS Reproducibility
Zhang, Fengdi;
Models for ControlGS Reproducibility
This record provides 3DGS models trained with ControlGS at ten lambda values (1e-7 to 1e-6 with a step of 1e-7) across 24 instances from Mip-NeRF360, Deep Blending, Tank and Temples, NeRF Synthetic, and GigaNVS datasets for reproducing results in the ControlGS paper and supporting further research and comparison. For more details, please refer to: https://github.com/zhang-fengdi/ControlGS
- Tsinghua University China (People's Republic of)
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
Average
Average
Average