Fixed broken Owen scrambling.
The previous implementation was fundamentally broken because it was mixing the bits in the wrong direction. This fixes that. The constants have also been updated. I created a (temporary) implementation of slow but full owen scrambling to test against, and these constants appear to give results consistent with that on all the test scenes I rendered on. It is still, of course, possible that my full implementation was flawed, so more validation in the future would be a good idea.
This commit is contained in:
parent
9ba51cd43a
commit
a3ea90afdc
|
@ -690,7 +690,7 @@ impl LightPath {
|
||||||
fn get_sample(dimension: u32, i: u32, scramble: u32) -> f32 {
|
fn get_sample(dimension: u32, i: u32, scramble: u32) -> f32 {
|
||||||
use crate::hash::hash_u32_to_f32;
|
use crate::hash::hash_u32_to_f32;
|
||||||
if dimension < sobol::NUM_DIMENSIONS as u32 {
|
if dimension < sobol::NUM_DIMENSIONS as u32 {
|
||||||
sobol::sample_owen_scramble(dimension, i, scramble + dimension)
|
sobol::sample_owen_scramble(dimension, i, hash_u32(dimension, scramble))
|
||||||
} else {
|
} else {
|
||||||
hash_u32_to_f32(dimension, i ^ (scramble << 16))
|
hash_u32_to_f32(dimension, i ^ (scramble << 16))
|
||||||
}
|
}
|
||||||
|
|
|
@ -31,7 +31,7 @@ use crate::matrices::{MATRICES, SIZE};
|
||||||
/// within the sequence.
|
/// within the sequence.
|
||||||
#[inline]
|
#[inline]
|
||||||
pub fn sample(dimension: u32, index: u32) -> f32 {
|
pub fn sample(dimension: u32, index: u32) -> f32 {
|
||||||
u32_to_0_1_f32(sample_u32(dimension, index))
|
u32_to_0_1_f32(sobol_u32(dimension, index))
|
||||||
}
|
}
|
||||||
|
|
||||||
/// Same as `sample()` except applies random digit scrambling using the
|
/// Same as `sample()` except applies random digit scrambling using the
|
||||||
|
@ -43,49 +43,49 @@ pub fn sample(dimension: u32, index: u32) -> f32 {
|
||||||
/// works well.
|
/// works well.
|
||||||
#[inline]
|
#[inline]
|
||||||
pub fn sample_rd_scramble(dimension: u32, index: u32, scramble: u32) -> f32 {
|
pub fn sample_rd_scramble(dimension: u32, index: u32, scramble: u32) -> f32 {
|
||||||
u32_to_0_1_f32(sample_u32(dimension, index) ^ scramble)
|
u32_to_0_1_f32(sobol_u32(dimension, index) ^ scramble)
|
||||||
}
|
}
|
||||||
|
|
||||||
/// Same as `sample()` except applies Owen scrambling using the given seed.
|
/// Same as `sample()` except applies Owen scrambling using the given scramble
|
||||||
|
/// parameter.
|
||||||
///
|
///
|
||||||
/// To get proper Owen scrambling, you need to use a different seed for each
|
/// To get proper Owen scrambling, you need to use a different scramble
|
||||||
/// dimension. For example, reusing the dimension parameter itself works well.
|
/// value for each dimension, and those values should be generated more-or-less
|
||||||
|
/// randomly. For example, using a 32-bit hash of the dimension parameter
|
||||||
|
/// works well.
|
||||||
#[inline]
|
#[inline]
|
||||||
pub fn sample_owen_scramble(dimension: u32, index: u32, seed: u32) -> f32 {
|
pub fn sample_owen_scramble(dimension: u32, index: u32, scramble: u32) -> f32 {
|
||||||
// Do a weak "hash" on the seed. This isn't meant to be a real hash,
|
|
||||||
// we're just mixing the higher bits down into the lower bits so that
|
|
||||||
// naive seeds still work.
|
|
||||||
let mut seed = seed;
|
|
||||||
seed ^= seed.wrapping_mul(0x54bbba73);
|
|
||||||
seed ^= seed.wrapping_shr(16);
|
|
||||||
seed ^= seed.wrapping_mul(0x736caf6f);
|
|
||||||
seed ^= seed.wrapping_shr(16);
|
|
||||||
|
|
||||||
// Get the sobol point.
|
// Get the sobol point.
|
||||||
let mut n = sample_u32(dimension, index);
|
let mut n = sobol_u32(dimension, index);
|
||||||
|
|
||||||
// Apply the "hashed" seed as if doing random digit scrambling.
|
|
||||||
// This is valid because random digit scrambling is a strict subset of
|
|
||||||
// Owen scrambling, and therefore does not invalidate the Owen scrambling
|
|
||||||
// below. Instead, this simply serves to seed the Owen scrambling.
|
|
||||||
n ^= seed;
|
|
||||||
|
|
||||||
// Do Owen scrambling.
|
// Do Owen scrambling.
|
||||||
|
//
|
||||||
// This uses the technique presented in the paper "Stratified Sampling for
|
// This uses the technique presented in the paper "Stratified Sampling for
|
||||||
// Stochastic Transparency" by Laine and Karras.
|
// Stochastic Transparency" by Laine and Karras.
|
||||||
// The basic idea is that we're running a special kind of hash function
|
// The basic idea is that we're running a special kind of hash function
|
||||||
// that only allows avalanche to happen upwards (i.e. a bit is only
|
// that only allows avalanche to happen downwards (i.e. a bit is only
|
||||||
// affected by the bits lower than it). This is achieved by only doing
|
// affected by the bits higher than it). This is achieved by first
|
||||||
// mixing via multiplication by even numbers. Normally this would be
|
// reversing the bits and then doing mixing via multiplication by even
|
||||||
// considered a poor hash function, because normally you want all bits to
|
// numbers.
|
||||||
// have an equal chance of affecting all other bits. But in this case that
|
//
|
||||||
// only-upwards behavior is exactly what we want, because it ends up being
|
// Normally this would be considered a poor hash function, because normally
|
||||||
// equivalent to Owen scrambling.
|
// you want all bits to have an equal chance of affecting all other bits.
|
||||||
// The constants here are large primes.
|
// But in this case that only-downward behavior is exactly what we want,
|
||||||
n ^= n.wrapping_mul(0x54bbba73 * 2);
|
// because it ends up being equivalent to Owen scrambling.
|
||||||
n ^= n.wrapping_mul(0x736caf6f * 2);
|
//
|
||||||
n ^= n.wrapping_mul(0x54bbba73 * 2);
|
// Note that the application of the scramble parameter here is equivalent
|
||||||
n ^= n.wrapping_mul(0x736caf6f * 2);
|
// to doing random digit scrambling. This is valid because random digit
|
||||||
|
// scrambling is a strict subset of Owen scrambling, and therefore does
|
||||||
|
// not invalidate the Owen scrambling itself.
|
||||||
|
//
|
||||||
|
// The constants here are large primes, selected semi-carefully to maximize
|
||||||
|
// avalanche between bits.
|
||||||
|
n = n.reverse_bits();
|
||||||
|
n ^= scramble; // Apply the scramble parameter.
|
||||||
|
n ^= n.wrapping_mul(0x2d2c6e5d << 1);
|
||||||
|
n ^= n.wrapping_mul(0x52d391b3 << 1);
|
||||||
|
n ^= n.wrapping_mul(0x736caf6f << 1);
|
||||||
|
n = n.reverse_bits();
|
||||||
|
|
||||||
u32_to_0_1_f32(n)
|
u32_to_0_1_f32(n)
|
||||||
}
|
}
|
||||||
|
@ -94,7 +94,7 @@ pub fn sample_owen_scramble(dimension: u32, index: u32, seed: u32) -> f32 {
|
||||||
|
|
||||||
/// The actual core Sobol samplng code. Used by the other functions.
|
/// The actual core Sobol samplng code. Used by the other functions.
|
||||||
#[inline(always)]
|
#[inline(always)]
|
||||||
fn sample_u32(dimension: u32, mut index: u32) -> u32 {
|
fn sobol_u32(dimension: u32, mut index: u32) -> u32 {
|
||||||
assert!((dimension as usize) < NUM_DIMENSIONS);
|
assert!((dimension as usize) < NUM_DIMENSIONS);
|
||||||
|
|
||||||
let mut result = 0;
|
let mut result = 0;
|
||||||
|
|
Loading…
Reference in New Issue
Block a user