Efficient diffusion models: A comprehensive survey from principles to practices
Z Ma, Y Zhang, G Jia, L Zhao, Y Ma, M Ma… - arxiv preprint arxiv …, 2024 - arxiv.org
As one of the most popular and sought-after generative models in the recent years, diffusion
models have sparked the interests of many researchers and steadily shown excellent …
models have sparked the interests of many researchers and steadily shown excellent …
Conditional Image Synthesis with Diffusion Models: A Survey
Conditional image synthesis based on user-specified requirements is a key component in
creating complex visual content. In recent years, diffusion-based generative modeling has …
creating complex visual content. In recent years, diffusion-based generative modeling has …
IPVTON: Image-based 3D Virtual Try-on with Image Prompt Adapter
Given a pair of images depicting a person and a garment separately, image-based 3D
virtual try-on methods aim to reconstruct a 3D human model that realistically portrays the …
virtual try-on methods aim to reconstruct a 3D human model that realistically portrays the …
Parameter-Efficient Fine-Tuning for Foundation Models
D Zhang, T Feng, L Xue, Y Wang, Y Dong… - arxiv preprint arxiv …, 2025 - arxiv.org
This survey delves into the realm of Parameter-Efficient Fine-Tuning (PEFT) within the
context of Foundation Models (FMs). PEFT, a cost-effective fine-tuning technique, minimizes …
context of Foundation Models (FMs). PEFT, a cost-effective fine-tuning technique, minimizes …
ControlVAR: Exploring Controllable Visual Autoregressive Modeling
Conditional visual generation has witnessed remarkable progress with the advent of
diffusion models (DMs), especially in tasks like control-to-image generation. However …
diffusion models (DMs), especially in tasks like control-to-image generation. However …
LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation
The rising popularity of large foundation models has led to a heightened demand for
parameter-efficient fine-tuning methods, such as Low-Rank Adaptation (LoRA), which offer …
parameter-efficient fine-tuning methods, such as Low-Rank Adaptation (LoRA), which offer …
Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model
ControlNets are widely used for adding spatial control in image generation with different
conditions, such as depth maps, canny edges, and human poses. However, there are …
conditions, such as depth maps, canny edges, and human poses. However, there are …
No Re-Train, More Gain: Upgrading Backbones with Diffusion Model for Few-Shot Segmentation
Few-Shot Segmentation (FSS) aims to segment novel classes using only a few annotated
images. Despite considerable process under pixel-wise support annotation, current FSS …
images. Despite considerable process under pixel-wise support annotation, current FSS …