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Efficient spatially sparse inference for conditional gans and diffusion models
During image editing, existing deep generative models tend to re-synthesize the entire
output from scratch, including the unedited regions. This leads to a significant waste of …
output from scratch, including the unedited regions. This leads to a significant waste of …
Snapfusion: Text-to-image diffusion model on mobile devices within two seconds
Text-to-image diffusion models can create stunning images from natural language
descriptions that rival the work of professional artists and photographers. However, these …
descriptions that rival the work of professional artists and photographers. However, these …
Rethinking vision transformers for mobilenet size and speed
With the success of Vision Transformers (ViTs) in computer vision tasks, recent arts try to
optimize the performance and complexity of ViTs to enable efficient deployment on mobile …
optimize the performance and complexity of ViTs to enable efficient deployment on mobile …
Gan compression: Efficient architectures for interactive conditional gans
Abstract Conditional Generative Adversarial Networks (cGANs) have enabled controllable
image synthesis for many computer vision and graphics applications. However, recent …
image synthesis for many computer vision and graphics applications. However, recent …
Wavelet knowledge distillation: Towards efficient image-to-image translation
Remarkable achievements have been attained with Generative Adversarial Networks
(GANs) in image-to-image translation. However, due to a tremendous amount of parameters …
(GANs) in image-to-image translation. However, due to a tremendous amount of parameters …
On architectural compression of text-to-image diffusion models
Exceptional text-to-image (T2I) generation results of Stable Diffusion models (SDMs) come
with substantial computational demands. To resolve this issue, recent research on efficient …
with substantial computational demands. To resolve this issue, recent research on efficient …
Pointdistiller: Structured knowledge distillation towards efficient and compact 3d detection
The remarkable breakthroughs in point cloud representation learning have boosted their
usage in real-world applications such as self-driving cars and virtual reality. However, these …
usage in real-world applications such as self-driving cars and virtual reality. However, these …
Advanced face swap** methods have achieved appealing results. However, most of these
methods have many parameters and computations, which makes it challenging to apply …
methods have many parameters and computations, which makes it challenging to apply …
Pruning-as-search: Efficient neural architecture search via channel pruning and structural reparameterization
Neural architecture search (NAS) and network pruning are widely studied efficient AI
techniques, but not yet perfect. NAS performs exhaustive candidate architecture search …
techniques, but not yet perfect. NAS performs exhaustive candidate architecture search …