What changes were proposed in this pull request? Added 2 noise layers for Keras: GaussianDropout, GaussianNoise, with unit tests, python wrapper, serializatoin test.. How was this patch tested? PR validation tes
Alternative noising processes are also possible in continuous diffusion models, but as noted in the paper, only additive Gaussian noise has received significant attention. Autoregressive Models It's perhaps more interesting to compare VQ-Diffusion to AR models as they more frequently feature ...
openFrameworks addon for modeling a data distribution as a Gaussian mixture model Maintained by genekogan Last updated 8 years ago 4 Categories: Algorithms, Machine Learning ofxGNet Addon A general purpose, high level neural network ofxAddOn capable of modeling and mimicking arbitrary datasets with ea...
另外,只要我们假设因果过程中的噪声(Process Noise)之间互相独立,且满足Genenralized Laplacian分布(一种Non-Gaussian模型假设)。通过理论推导,我们发现只要将这些假设转换为Variational Autoencoder(VAE)的参数化的方式,我们就可以有保证地恢复因果隐变量和...
openGL image quad-wraper addon for OF. committed on 28 January, 2015 Merge branch 'experimental' jamesalliban ofxUIManager A parent class that allows me to quickly set up a ofxUI gui just the way I like it. committed on 28 January, 2015 Added quick (unfinished) example project bakercp...
3. **Gaussian blur**: Smooth out the texture to remove any remaining noise. 4. **Downsample**: Resize down to `texture_size` with LANCZOS resampling. ```python # Inpainting image_bgra = texture_buffer.copy() mask = (image_bgra[:, :, 3] == 0).astype(np.uint8) * 255 image_bgr...
"However, either the image or the noise timestep has not been provided." )if return_image_latents or (latents is None and not is_strength_max): image = image.to(device=device, dtype=dtype)if image.shape[1] == 4: image_latents = image ...
gaussian_gray_noise_prob=0.4, poisson_scale=[0.05, 3], poisson_gray_noise_prob=0.4, gaussian_sigma_step=0.1, poisson_scale_step=0.005), keys=['lq'], ), dict( type='RandomJPEGCompression', params=dict(quality=[30, 95], quality_step=3), keys=['lq'], ), dict( type='RandomVideoC...
latents (`Optional[torch.FloatTensor]`, defaults to `None`): Pre-generated noisy latents sampled from a Gaussian distribution, to be used as inputs for image generation. Can be used to tweak the same generation with different prompts. If not provided, a latents tensor is generated by sampl...
def create_gaussian_diffusion( *, steps=1000, learn_sigma=False, sigma_small=False, noise_schedule="linear", use_kl=False, predict_xstart=False, rescale_timesteps=False, rescale_learned_sigmas=False, timestep_respacing="", linear_start=0.0001, linear_end=0.02, ): betas = get_named_beta...