Linear interpolation - Wikipedia
Lerp operations are built into the hardware of all modern computer graphics processors. They are often used as building blocks for more complex operations: for example, a bilinear interpolation …
std:: lerp - cppreference.com
2023年10月15日 · If num1, num2 or num3 has type longdouble, then std::lerp(num1, num2, num3) has the same effect as std::lerp(static_cast<longdouble>(num1), …
The right way to Lerp in Unity (with examples) - Game Dev Beginner
2020年4月13日 · Lerp, or Linear Interpolation, is a mathematical function in Unity that returns a value between two others at a point on a linear scale. Most commonly it’s used for moving or …
Linear interpolation
Various interpolations try to mimic the lerp in non-linear geometries. For example, spherical linear interpolation or slerp can smoothly interpolate unit vectors.
lerp - Win32 apps | Microsoft Learn
2020年8月19日 · lerp In this article Parameters Return Value Type Description Remarks Show 2 more
Unity - Scripting API: Vector3.Lerp
The interpolant parameter t is clamped to the range [0, 1]. This method is useful for finding a point some fraction of the way along a line between two endpoints. For example, to move an object …
Understanding LERP and SLERP: Smooth Animations in Unity
2023年3月1日 · What is LERP? LERP stands for “linear interpolation,” which is the process of calculating the intermediate values between two points in a straight line.
Can someone explain “Lerp”? : r/Unity3D - Reddit
2023年1月3日 · To Lerp means to move from point A to point B by an amount t, where t is greater than or equal to zero and less than or equal to one. t is the portion of the distance between the …
Linear Interpolation - Unity Learn
The Mathf.Lerp function takes 3 float parameters: one representing the value to interpolate from; another representing the value to interpolate to and a final float representing how far to …
torch.lerp — PyTorch 2.9 documentation
torch.lerp(input, end, weight, *, out=None) # Does a linear interpolation of two tensors start (given by input) and end based on a scalar or tensor weight and returns the resulting out tensor.