diff options
Diffstat (limited to 'intern/cycles/device/device_denoising.cpp')
-rw-r--r-- | intern/cycles/device/device_denoising.cpp | 267 |
1 files changed, 145 insertions, 122 deletions
diff --git a/intern/cycles/device/device_denoising.cpp b/intern/cycles/device/device_denoising.cpp index 644cf6cd10e..4d2ba508aec 100644 --- a/intern/cycles/device/device_denoising.cpp +++ b/intern/cycles/device/device_denoising.cpp @@ -20,12 +20,24 @@ CCL_NAMESPACE_BEGIN -DenoisingTask::DenoisingTask(Device *device) +DenoisingTask::DenoisingTask(Device *device, const DeviceTask &task) : tiles_mem(device, "denoising tiles_mem", MEM_READ_WRITE), storage(device), buffer(device), device(device) { + radius = task.denoising_radius; + nlm_k_2 = powf(2.0f, lerp(-5.0f, 3.0f, task.denoising_strength)); + if(task.denoising_relative_pca) { + pca_threshold = -powf(10.0f, lerp(-8.0f, 0.0f, task.denoising_feature_strength)); + } + else { + pca_threshold = powf(10.0f, lerp(-5.0f, 3.0f, task.denoising_feature_strength)); + } + + render_buffer.pass_stride = task.pass_stride; + render_buffer.denoising_data_offset = task.pass_denoising_data; + render_buffer.denoising_clean_offset = task.pass_denoising_clean; } DenoisingTask::~DenoisingTask() @@ -41,26 +53,6 @@ DenoisingTask::~DenoisingTask() tiles_mem.free(); } -void DenoisingTask::init_from_devicetask(const DeviceTask &task) -{ - radius = task.denoising_radius; - nlm_k_2 = powf(2.0f, lerp(-5.0f, 3.0f, task.denoising_strength)); - if(task.denoising_relative_pca) { - pca_threshold = -powf(10.0f, lerp(-8.0f, 0.0f, task.denoising_feature_strength)); - } - else { - pca_threshold = powf(10.0f, lerp(-5.0f, 3.0f, task.denoising_feature_strength)); - } - - render_buffer.pass_stride = task.pass_stride; - render_buffer.denoising_data_offset = task.pass_denoising_data; - render_buffer.denoising_clean_offset = task.pass_denoising_clean; - - /* Expand filter_area by radius pixels and clamp the result to the extent of the neighboring tiles */ - rect = rect_from_shape(filter_area.x, filter_area.y, filter_area.z, filter_area.w); - rect = rect_expand(rect, radius); - rect = rect_clip(rect, make_int4(tiles->x[0], tiles->y[0], tiles->x[3], tiles->y[3])); -} void DenoisingTask::tiles_from_rendertiles(RenderTile *rtiles) { @@ -88,120 +80,142 @@ void DenoisingTask::tiles_from_rendertiles(RenderTile *rtiles) functions.set_tiles(buffers); } -bool DenoisingTask::run_denoising() +void DenoisingTask::setup_denoising_buffer() { - /* Allocate denoising buffer. */ + /* Expand filter_area by radius pixels and clamp the result to the extent of the neighboring tiles */ + rect = rect_from_shape(filter_area.x, filter_area.y, filter_area.z, filter_area.w); + rect = rect_expand(rect, radius); + rect = rect_clip(rect, make_int4(tiles->x[0], tiles->y[0], tiles->x[3], tiles->y[3])); + buffer.passes = 14; buffer.width = rect.z - rect.x; buffer.stride = align_up(buffer.width, 4); buffer.h = rect.w - rect.y; - buffer.pass_stride = align_up(buffer.stride * buffer.h, divide_up(device->mem_sub_ptr_alignment(), sizeof(float))); - buffer.mem.alloc_to_device(buffer.pass_stride * buffer.passes, false); + int alignment_floats = divide_up(device->mem_sub_ptr_alignment(), sizeof(float)); + buffer.pass_stride = align_up(buffer.stride * buffer.h, alignment_floats); + /* Pad the total size by four floats since the SIMD kernels might go a bit over the end. */ + int mem_size = align_up(buffer.pass_stride * buffer.passes + 4, alignment_floats); + buffer.mem.alloc_to_device(mem_size, false); +} +void DenoisingTask::prefilter_shadowing() +{ device_ptr null_ptr = (device_ptr) 0; - /* Prefilter shadow feature. */ - { - device_sub_ptr unfiltered_a (buffer.mem, 0, buffer.pass_stride); - device_sub_ptr unfiltered_b (buffer.mem, 1*buffer.pass_stride, buffer.pass_stride); - device_sub_ptr sample_var (buffer.mem, 2*buffer.pass_stride, buffer.pass_stride); - device_sub_ptr sample_var_var (buffer.mem, 3*buffer.pass_stride, buffer.pass_stride); - device_sub_ptr buffer_var (buffer.mem, 5*buffer.pass_stride, buffer.pass_stride); - device_sub_ptr filtered_var (buffer.mem, 6*buffer.pass_stride, buffer.pass_stride); - device_sub_ptr nlm_temporary_1(buffer.mem, 7*buffer.pass_stride, buffer.pass_stride); - device_sub_ptr nlm_temporary_2(buffer.mem, 8*buffer.pass_stride, buffer.pass_stride); - device_sub_ptr nlm_temporary_3(buffer.mem, 9*buffer.pass_stride, buffer.pass_stride); - - nlm_state.temporary_1_ptr = *nlm_temporary_1; - nlm_state.temporary_2_ptr = *nlm_temporary_2; - nlm_state.temporary_3_ptr = *nlm_temporary_3; - - /* Get the A/B unfiltered passes, the combined sample variance, the estimated variance of the sample variance and the buffer variance. */ - functions.divide_shadow(*unfiltered_a, *unfiltered_b, *sample_var, *sample_var_var, *buffer_var); - - /* Smooth the (generally pretty noisy) buffer variance using the spatial information from the sample variance. */ - nlm_state.set_parameters(6, 3, 4.0f, 1.0f); - functions.non_local_means(*buffer_var, *sample_var, *sample_var_var, *filtered_var); - - /* Reuse memory, the previous data isn't needed anymore. */ - device_ptr filtered_a = *buffer_var, - filtered_b = *sample_var; - /* Use the smoothed variance to filter the two shadow half images using each other for weight calculation. */ - nlm_state.set_parameters(5, 3, 1.0f, 0.25f); - functions.non_local_means(*unfiltered_a, *unfiltered_b, *filtered_var, filtered_a); - functions.non_local_means(*unfiltered_b, *unfiltered_a, *filtered_var, filtered_b); - - device_ptr residual_var = *sample_var_var; - /* Estimate the residual variance between the two filtered halves. */ - functions.combine_halves(filtered_a, filtered_b, null_ptr, residual_var, 2, rect); - - device_ptr final_a = *unfiltered_a, - final_b = *unfiltered_b; - /* Use the residual variance for a second filter pass. */ - nlm_state.set_parameters(4, 2, 1.0f, 0.5f); - functions.non_local_means(filtered_a, filtered_b, residual_var, final_a); - functions.non_local_means(filtered_b, filtered_a, residual_var, final_b); - - /* Combine the two double-filtered halves to a final shadow feature. */ - device_sub_ptr shadow_pass(buffer.mem, 4*buffer.pass_stride, buffer.pass_stride); - functions.combine_halves(final_a, final_b, *shadow_pass, null_ptr, 0, rect); - } + device_sub_ptr unfiltered_a (buffer.mem, 0, buffer.pass_stride); + device_sub_ptr unfiltered_b (buffer.mem, 1*buffer.pass_stride, buffer.pass_stride); + device_sub_ptr sample_var (buffer.mem, 2*buffer.pass_stride, buffer.pass_stride); + device_sub_ptr sample_var_var (buffer.mem, 3*buffer.pass_stride, buffer.pass_stride); + device_sub_ptr buffer_var (buffer.mem, 5*buffer.pass_stride, buffer.pass_stride); + device_sub_ptr filtered_var (buffer.mem, 6*buffer.pass_stride, buffer.pass_stride); + device_sub_ptr nlm_temporary_1(buffer.mem, 7*buffer.pass_stride, buffer.pass_stride); + device_sub_ptr nlm_temporary_2(buffer.mem, 8*buffer.pass_stride, buffer.pass_stride); + device_sub_ptr nlm_temporary_3(buffer.mem, 9*buffer.pass_stride, buffer.pass_stride); + + nlm_state.temporary_1_ptr = *nlm_temporary_1; + nlm_state.temporary_2_ptr = *nlm_temporary_2; + nlm_state.temporary_3_ptr = *nlm_temporary_3; + + /* Get the A/B unfiltered passes, the combined sample variance, the estimated variance of the sample variance and the buffer variance. */ + functions.divide_shadow(*unfiltered_a, *unfiltered_b, *sample_var, *sample_var_var, *buffer_var); + + /* Smooth the (generally pretty noisy) buffer variance using the spatial information from the sample variance. */ + nlm_state.set_parameters(6, 3, 4.0f, 1.0f); + functions.non_local_means(*buffer_var, *sample_var, *sample_var_var, *filtered_var); + + /* Reuse memory, the previous data isn't needed anymore. */ + device_ptr filtered_a = *buffer_var, + filtered_b = *sample_var; + /* Use the smoothed variance to filter the two shadow half images using each other for weight calculation. */ + nlm_state.set_parameters(5, 3, 1.0f, 0.25f); + functions.non_local_means(*unfiltered_a, *unfiltered_b, *filtered_var, filtered_a); + functions.non_local_means(*unfiltered_b, *unfiltered_a, *filtered_var, filtered_b); + + device_ptr residual_var = *sample_var_var; + /* Estimate the residual variance between the two filtered halves. */ + functions.combine_halves(filtered_a, filtered_b, null_ptr, residual_var, 2, rect); + + device_ptr final_a = *unfiltered_a, + final_b = *unfiltered_b; + /* Use the residual variance for a second filter pass. */ + nlm_state.set_parameters(4, 2, 1.0f, 0.5f); + functions.non_local_means(filtered_a, filtered_b, residual_var, final_a); + functions.non_local_means(filtered_b, filtered_a, residual_var, final_b); + + /* Combine the two double-filtered halves to a final shadow feature. */ + device_sub_ptr shadow_pass(buffer.mem, 4*buffer.pass_stride, buffer.pass_stride); + functions.combine_halves(final_a, final_b, *shadow_pass, null_ptr, 0, rect); +} - /* Prefilter general features. */ - { - device_sub_ptr unfiltered (buffer.mem, 8*buffer.pass_stride, buffer.pass_stride); - device_sub_ptr variance (buffer.mem, 9*buffer.pass_stride, buffer.pass_stride); - device_sub_ptr nlm_temporary_1(buffer.mem, 10*buffer.pass_stride, buffer.pass_stride); - device_sub_ptr nlm_temporary_2(buffer.mem, 11*buffer.pass_stride, buffer.pass_stride); - device_sub_ptr nlm_temporary_3(buffer.mem, 12*buffer.pass_stride, buffer.pass_stride); - - nlm_state.temporary_1_ptr = *nlm_temporary_1; - nlm_state.temporary_2_ptr = *nlm_temporary_2; - nlm_state.temporary_3_ptr = *nlm_temporary_3; - - int mean_from[] = { 0, 1, 2, 12, 6, 7, 8 }; - int variance_from[] = { 3, 4, 5, 13, 9, 10, 11}; - int pass_to[] = { 1, 2, 3, 0, 5, 6, 7}; - for(int pass = 0; pass < 7; pass++) { - device_sub_ptr feature_pass(buffer.mem, pass_to[pass]*buffer.pass_stride, buffer.pass_stride); - /* Get the unfiltered pass and its variance from the RenderBuffers. */ - functions.get_feature(mean_from[pass], variance_from[pass], *unfiltered, *variance); - /* Smooth the pass and store the result in the denoising buffers. */ - nlm_state.set_parameters(2, 2, 1.0f, 0.25f); - functions.non_local_means(*unfiltered, *unfiltered, *variance, *feature_pass); - } +void DenoisingTask::prefilter_features() +{ + device_sub_ptr unfiltered (buffer.mem, 8*buffer.pass_stride, buffer.pass_stride); + device_sub_ptr variance (buffer.mem, 9*buffer.pass_stride, buffer.pass_stride); + device_sub_ptr nlm_temporary_1(buffer.mem, 10*buffer.pass_stride, buffer.pass_stride); + device_sub_ptr nlm_temporary_2(buffer.mem, 11*buffer.pass_stride, buffer.pass_stride); + device_sub_ptr nlm_temporary_3(buffer.mem, 12*buffer.pass_stride, buffer.pass_stride); + + nlm_state.temporary_1_ptr = *nlm_temporary_1; + nlm_state.temporary_2_ptr = *nlm_temporary_2; + nlm_state.temporary_3_ptr = *nlm_temporary_3; + + int mean_from[] = { 0, 1, 2, 12, 6, 7, 8 }; + int variance_from[] = { 3, 4, 5, 13, 9, 10, 11}; + int pass_to[] = { 1, 2, 3, 0, 5, 6, 7}; + for(int pass = 0; pass < 7; pass++) { + device_sub_ptr feature_pass(buffer.mem, pass_to[pass]*buffer.pass_stride, buffer.pass_stride); + /* Get the unfiltered pass and its variance from the RenderBuffers. */ + functions.get_feature(mean_from[pass], variance_from[pass], *unfiltered, *variance); + /* Smooth the pass and store the result in the denoising buffers. */ + nlm_state.set_parameters(2, 2, 1.0f, 0.25f); + functions.non_local_means(*unfiltered, *unfiltered, *variance, *feature_pass); } +} - /* Copy color passes. */ - { - int mean_from[] = {20, 21, 22}; - int variance_from[] = {23, 24, 25}; - int mean_to[] = { 8, 9, 10}; - int variance_to[] = {11, 12, 13}; - int num_color_passes = 3; - - storage.temporary_color.alloc_to_device(3*buffer.pass_stride, false); - - for(int pass = 0; pass < num_color_passes; pass++) { - device_sub_ptr color_pass(storage.temporary_color, pass*buffer.pass_stride, buffer.pass_stride); - device_sub_ptr color_var_pass(buffer.mem, variance_to[pass]*buffer.pass_stride, buffer.pass_stride); - functions.get_feature(mean_from[pass], variance_from[pass], *color_pass, *color_var_pass); - } - - { - device_sub_ptr depth_pass (buffer.mem, 0, buffer.pass_stride); - device_sub_ptr color_var_pass(buffer.mem, variance_to[0]*buffer.pass_stride, 3*buffer.pass_stride); - device_sub_ptr output_pass (buffer.mem, mean_to[0]*buffer.pass_stride, 3*buffer.pass_stride); - functions.detect_outliers(storage.temporary_color.device_pointer, *color_var_pass, *depth_pass, *output_pass); - } +void DenoisingTask::prefilter_color() +{ + int mean_from[] = {20, 21, 22}; + int variance_from[] = {23, 24, 25}; + int mean_to[] = { 8, 9, 10}; + int variance_to[] = {11, 12, 13}; + int num_color_passes = 3; + + storage.temporary_color.alloc_to_device(3*buffer.pass_stride, false); + device_sub_ptr nlm_temporary_1(storage.temporary_color, 0*buffer.pass_stride, buffer.pass_stride); + device_sub_ptr nlm_temporary_2(storage.temporary_color, 1*buffer.pass_stride, buffer.pass_stride); + device_sub_ptr nlm_temporary_3(storage.temporary_color, 2*buffer.pass_stride, buffer.pass_stride); + + nlm_state.temporary_1_ptr = *nlm_temporary_1; + nlm_state.temporary_2_ptr = *nlm_temporary_2; + nlm_state.temporary_3_ptr = *nlm_temporary_3; + + for(int pass = 0; pass < num_color_passes; pass++) { + device_sub_ptr color_pass(storage.temporary_color, pass*buffer.pass_stride, buffer.pass_stride); + device_sub_ptr color_var_pass(buffer.mem, variance_to[pass]*buffer.pass_stride, buffer.pass_stride); + functions.get_feature(mean_from[pass], variance_from[pass], *color_pass, *color_var_pass); } + device_sub_ptr depth_pass (buffer.mem, 0, buffer.pass_stride); + device_sub_ptr color_var_pass(buffer.mem, variance_to[0]*buffer.pass_stride, 3*buffer.pass_stride); + device_sub_ptr output_pass (buffer.mem, mean_to[0]*buffer.pass_stride, 3*buffer.pass_stride); + functions.detect_outliers(storage.temporary_color.device_pointer, *color_var_pass, *depth_pass, *output_pass); + + storage.temporary_color.free(); +} + +void DenoisingTask::construct_transform() +{ storage.w = filter_area.z; storage.h = filter_area.w; + storage.transform.alloc_to_device(storage.w*storage.h*TRANSFORM_SIZE, false); storage.rank.alloc_to_device(storage.w*storage.h, false); functions.construct_transform(); +} + +void DenoisingTask::reconstruct() +{ device_only_memory<float> temporary_1(device, "Denoising NLM temporary 1"); device_only_memory<float> temporary_2(device, "Denoising NLM temporary 2"); @@ -222,13 +236,22 @@ bool DenoisingTask::run_denoising() reconstruction_state.source_w = rect.z-rect.x; reconstruction_state.source_h = rect.w-rect.y; - { - device_sub_ptr color_ptr (buffer.mem, 8*buffer.pass_stride, 3*buffer.pass_stride); - device_sub_ptr color_var_ptr(buffer.mem, 11*buffer.pass_stride, 3*buffer.pass_stride); - functions.reconstruct(*color_ptr, *color_var_ptr, render_buffer.ptr); - } + device_sub_ptr color_ptr (buffer.mem, 8*buffer.pass_stride, 3*buffer.pass_stride); + device_sub_ptr color_var_ptr(buffer.mem, 11*buffer.pass_stride, 3*buffer.pass_stride); + functions.reconstruct(*color_ptr, *color_var_ptr, render_buffer.ptr); +} + +void DenoisingTask::run_denoising() +{ + setup_denoising_buffer(); + + prefilter_shadowing(); + prefilter_features(); + prefilter_color(); + + construct_transform(); + reconstruct(); - return true; } CCL_NAMESPACE_END |