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