这里我们借助到 intensity function的 泰勒展开来关联target view\mathbf{p}_i和given views\mathbf{p}_0。 其中\mathcal{I}(\cdot)表示intensity function,代表不同pose 下观察空间某点的亮度值。由于不同pose下同一空间点在pixel空间的投影位置不同,我们利用如下warp function可以的到已知view\mathbf{p}_0在\ma...
这样上面的regularization term可以看作一个GP对另一个GP的neg log "density"了。如果这样理解,我们的model应该是shifted GP by f,然后infer f,这样regularization就说得通(是neg log density wrt zero mean GP);而data fidelity term完全是noise给的。直觉上说得通,但并不完全严谨,也许可以写成严谨的东西。】 T...
(2007). TEST, 16, 3, 523-546.Chesneau, C. (2005). A maxiset approach of a gaussian noise model. A paraitre dans TEST .C. Chesneau, “AMaxiset Approach of a Gaussian NoiseModel”, TEST 16 (3), 523–546 (2007). MATH MathSciNet...
A Gaussian Mixture model is fitted by the Expectation-Maximization algorithm. This fairly simple algorithm consists of two steps and the initialization. Initialization (fork=2Gaussians) Find (or guess) an initialmuandsigmaparameter value for both Gaussians. E-step Use the current Gaussi...
Gaussian White Noise. This model uses a C-code block to generate a random integer every time-step. It is then normalized to create a uniform white stochastic process. Using two of these uniform white processes, a Custom Component implements the Box-Mulle
2. PSAvatar: A Point-based Morphable Shape Model for Real-Time Head Avatar Creation with 3D Gaussian Splatting Authors: Zhongyuan Zhao, Zhenyu Bao, Qing Li, Guoping Qiu, Kanglin Liu Abstract Despite much progress, achieving real-time high-fidelity head avatar animation is still difficult and ...
In this work, we have presented an edge-guided second-order total generalized variation for Gaussian noise removal from depth map (ESTGV). In the ESTGV model, the edge indicating function Canny algorithm is added into the regularization term of the second-order generalized total variational, ...
The presence of various types of noise in the experiments affects the probability of the maximum weighted clique obtained from the raw experimental data. In some cases, the subgraph obtained may not even be a clique. Certain types of noise are unavoidable in experiments (for example, photon loss...
where ε(tstart) is a random noise at timestep tstart, c is ∆p for image-to-3D and e for text-to-3D respectively. The starting timestep tstart is carefully chosen to limit the noise strength, so the refined image can enhance details without breaking the original content. This refine...
Artifacts in the Electrocardiogram (ECG) degrade the quality of the recorded signal and are not conducive to heart rate variability (HRV) analysis. The two types of noise most often found in ECG recordings are technical and physiological artifacts. Curre