NTIRE 2023 challenge on efficient super-resolution: Methods and results
This paper reviews the NTIRE 2023 challenge on efficient single-image super-resolution
with a focus on the proposed solutions and results. The aim of this challenge is to devise a …
with a focus on the proposed solutions and results. The aim of this challenge is to devise a …
Patch diffusion: Faster and more data-efficient training of diffusion models
Diffusion models are powerful, but they require a lot of time and data to train. We propose
Patch Diffusion, a generic patch-wise training framework, to significantly reduce the training …
Patch Diffusion, a generic patch-wise training framework, to significantly reduce the training …
Efficient deep models for real-time 4k image super-resolution. NTIRE 2023 benchmark and report
This paper introduces a novel benchmark for efficient upscaling as part of the NTIRE 2023
Real-Time Image Super-Resolution (RTSR) Challenge, which aimed to upscale images …
Real-Time Image Super-Resolution (RTSR) Challenge, which aimed to upscale images …
Large Multimodal Model Compression via Efficient Pruning and Distillation at AntGroup
The deployment of Large Multimodal Models (LMMs) within AntGroup has significantly
advanced multimodal tasks in payment, security, and advertising, notably enhancing …
advanced multimodal tasks in payment, security, and advertising, notably enhancing …
Large Multimodal Model Compression via Iterative Efficient Pruning and Distillation
The deployment of Large Multimodal Models (LMMs) within Ant Group has significantly
advanced multimodal tasks in payment, security, and advertising, notably enhancing …
advanced multimodal tasks in payment, security, and advertising, notably enhancing …
[PDF][PDF] Structural Pruning for Diffusion Models—Supplementary Materials—
GFXMX Wang - proceedings.neurips.cc
This section provides further insights into the coupled structures present in U-Net, which
function as denoisers in diffusion models. In the context of structural pruning, it is crucial to …
function as denoisers in diffusion models. In the context of structural pruning, it is crucial to …