Scientific Research Publishing

Variational Auto-Encoder and Speeded-Up Robust Features Hybrid Model for Anomaly Detection and Localization in Video Sequence with Scale Variation ()

Jomo Kenyatta University of Agriculture and Technology, Juja, Kiambu County, Kenya. Where KL denotes the Kullback-Leibler divergence, and p(z) is a prior distribution over the latent space (typically ...
GitHub

Encoder Pretrained Weight #8

Thank you for your excellent work on this project! I have a question regarding the released weights: do they include the VAE encoder? When I ran the model, it appeared that the encoder only generated ...
IEEE

Partial Texture VAE: Color and Texture Encoder for Rock Particle Images

Abstract: We propose Partial Texture VAE (PT-VAE) for rock particle image analysis, a variant of the variational autoencoder (VAE) specialized in encoding color and texture properties from arbitrarily ...
unite

BrushNet: Plug and Play Image Inpainting with Dual Branch Diffusion

Image inpainting is one of the classic problems in computer vision, and it aims to restore masked regions in an image with plausible and natural content. Existing work employing traditional image ...
Semiconductor Engineering

Considerations For Accelerating On-Device Stable Diffusion Models

One of the more powerful – and visually stunning – advances in generative AI has been the development of Stable Diffusion models. These models are used for image generation, image denoising, ...
GitHub

SD-XL onnx export failed in VAE encoder validation

Saving external data to one file... Validating ONNX model sd_xl_base_onnx/text_encoder/model.onnx... -[ ] ONNX model output names match reference model (hidden_states ...