Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Scaledreamer: Scalable text-to-3d synthesis with asynchronous score distillation
By leveraging the text-to-image diffusion prior, score distillation can synthesize 3D contents
without paired text-3D training data. Instead of spending hours of online optimization per text …
without paired text-3D training data. Instead of spending hours of online optimization per text …
Improving the Stability and Efficiency of Diffusion Models for Content Consistent Super-Resolution
The generative priors of pre-trained latent diffusion models (DMs) have demonstrated great
potential to enhance the visual quality of image super-resolution (SR) results. However, the …
potential to enhance the visual quality of image super-resolution (SR) results. However, the …
Distillation-free one-step diffusion for real-world image super-resolution
Diffusion models have been achieving excellent performance for real-world image super-
resolution (Real-ISR) with considerable computational costs. Current approaches are trying …
resolution (Real-ISR) with considerable computational costs. Current approaches are trying …
Adversarial diffusion compression for real-world image super-resolution
Real-world image super-resolution (Real-ISR) aims to reconstruct high-resolution images
from low-resolution inputs degraded by complex, unknown processes. While many Stable …
from low-resolution inputs degraded by complex, unknown processes. While many Stable …
When guided diffusion model meets zero-shot image super-resolution
Existing deep learning-based single-image super-resolution (SR) methods typically rely on
vast quantities of paired data. As an essential solution, zero-shot SR methods require only a …
vast quantities of paired data. As an essential solution, zero-shot SR methods require only a …
TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-Resolution
Pre-trained text-to-image diffusion models are increasingly applied to real-world image
super-resolution (Real-ISR) task. Given the iterative refinement nature of diffusion models …
super-resolution (Real-ISR) task. Given the iterative refinement nature of diffusion models …
MultiDepth: Multi-Sample Priors for Refining Monocular Metric Depth Estimations in Indoor Scenes
Monocular metric depth estimation (MMDE) is a crucial task to solve for indoor scene
reconstruction on edge devices. Despite this importance, existing models are sensitive to …
reconstruction on edge devices. Despite this importance, existing models are sensitive to …
Arbitrary-steps Image Super-resolution via Diffusion Inversion
This study presents a new image super-resolution (SR) technique based on diffusion
inversion, aiming at harnessing the rich image priors encapsulated in large pre-trained …
inversion, aiming at harnessing the rich image priors encapsulated in large pre-trained …
PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution
Diffusion-based image super-resolution (SR) models have shown superior performance at
the cost of multiple denoising steps. However, even though the denoising step has been …
the cost of multiple denoising steps. However, even though the denoising step has been …
OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs
Recent advances in diffusion and flow-based generative models have demonstrated
remarkable success in image restoration tasks, achieving superior perceptual quality …
remarkable success in image restoration tasks, achieving superior perceptual quality …