对于高斯斯裂变的建模不确定性
概括
随机高斯分辨率 (SGS) 引入高斯分辨率 (GS) 的不确定性估计,改进了新视图合成. 这一框架提高了生成图像的可靠性和准确性,有助于现实世界的应用.
科学领域:
- 计算机视觉 计算机视觉
- 计算机图形 计算机图形
- 机器学习 机器学习
背景情况:
- 高斯斯 (GS) 提供高效,高品质的新视角合成.
- 目前的GS方法缺乏对合成视图的不确定性量化.
- 神经辐射场 (NeRFs) 提供了信心测量,但在计算上是昂贵的.
研究的目的:
- 开发第一个框架,用于高斯斯裂变 (GS) 中的不确定性估计.
- 将不确定性预测集成到GS染管道中.
- 提高新视角合成的可靠性和准确性.
主要方法:
- 介绍了基于变化推理 (VI) 的方法 - - 随机高斯分裂 (SGS).
- 将不确定性预测集成到标准GS染管道中.
- 将分散错误下的面积 (AUSE) 纳入损失函数以进行关节优化.
主要成果:
- 在三个数据集上,SGS在现有方法上表现出优越的性能.
- 在图像染质量和不确定性估计准确性方面取得了最先进的结果.
- 提供了对综合观点信心的可靠见解.
结论:
- 斯格斯有效地量化了高斯斯裂纹的不确定性.
- 该框架提高了新视角合成的可信度.
- 在使用合成图像的现实应用程序中实现更安全的决策.
相关概念视频
Propagation of Uncertainty from Systematic Error
445
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
445
Propagation of Uncertainty from Random Error
611
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
611
Uncertainty: Confidence Intervals
3.0K
The confidence interval is the range of values around the mean that contains the true mean. It is expressed as a probability percentage. The interpretation of a 95% confidence interval, for instance, is that the statistician is 95% confident that the true mean falls within the interval. The upper and lower limits of this range are known as confidence limits. The confidence limits for the true mean are estimated from the sample's mean, the standard deviation, and the statistical factor...
3.0K
Uncertainty: Overview
488
In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
488
Uncertainty in Measurement: Accuracy and Precision
73.0K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.
73.0K
Random Error
785
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
785


