Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Improving Translational Accuracy

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...

Improving Translational Accuracy

Improving Translational Accuracy

What is Weather?

What is Weather?

Precipitation Processes

Precipitation Processes

The experimental conditions in a gravimetric analysis should be optimized to maximize the particle size and purity of the obtained precipitate. Ideally, the concentration of the precipitating reagent should be low with effective stirring to maintain low relative supersaturation for the growth of large crystals. In homogeneous precipitation, the precipitant is slowly generated by a chemical reaction in the solution to avoid local reagent excesses. For example, urea decomposes gradually to...

Methods of Obtaining Topography

Methods of Obtaining Topography

Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

High rate of chimeric gene origination by retroposition in plant genomes.

The Plant cell·2006

Same author

Enzyme catalysis: tool to make and break amygdalin hydrogelators from renewable resources: a delivery model for hydrophobic drugs.

Journal of the American Chemical Society·2006

Same author

Theoretical probing of deltahedral closo-auroboranes B(x)Au(x)2- (x = 5-12).

Inorganic chemistry·2006

Same author

Density functional theory/time-dependent DFT studies on the structures, trend in DNA-binding affinities, and spectral properties of complexes [Ru(bpy)2(p-R-pip)]2+ (R = -OH, -CH3, -H, -NO2).

The journal of physical chemistry. A·2006

Same author

Sn12(2-): stannaspherene.

Journal of the American Chemical Society·2006

Same author

High efficient mammalian expression and secretion of a functional humanized single-chain Fv/human interleukin-2 molecules.

World journal of gastroenterology·2006

Same journal

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

GoP-based Quality Enhancement on Video Compression.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

Align then Tensorize: Multi-Level Consistent Anchor Graph Learning for Scalable Multi-View Clustering.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 12, 2026

Photorealistic Learned Landscapes for Augmented Reality

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

Instruction-Driven Multi-Weather Image Translation Based on a Large-Scale Image Editing Model.

Yunjian Feng, Jun Li, MengChu Zhou

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|October 31, 2025

Summary

This summary is machine-generated.

This study introduces Instruction-driven Multi-Weather Translation (InstructWT), a diffusion model that enhances weather image translation. InstructWT improves authenticity and diversity, outperforming previous methods and boosting semantic segmentation performance.

Related Experiment Videos

Last Updated: Jan 12, 2026

Photorealistic Learned Landscapes for Augmented Reality

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

Area of Science:

Computer Vision
Artificial Intelligence
Image Processing

Background:

Weather image translation is crucial for data augmentation but faces challenges with costly sample collection.
Existing Generative Adversarial Network (GAN)-based methods lack generalization, producing inauthentic and non-diverse images.
Diffusion models show superior performance in visual tasks, surpassing GANs.

Purpose of the Study:

To pioneer diffusion models for weather image translation using a novel Instruction-driven Multi-Weather Translation (InstructWT) framework.
To enhance the authenticity and diversity of translated weather images.
To improve the performance of semantic segmentation algorithms under various weather conditions.

Main Methods:

Developed InstructWT based on the InstructPix2Pix large image editing model, leveraging its zero-shot generalization.
Implemented prompt engineering for a user-friendly instruction set and introduced a weather intensity factor for precise control.
Utilized weather correlation-based blended editing and physically based rendering for rain and snow to preserve scene layout and enhance realism.

Main Results:

InstructWT significantly outperforms existing methods on the Cityscapes dataset in authenticity and fidelity.
Achieved high Contrastive Language-Image Pre-Training (CLIP) image embedding cosine similarity (0.8302) and directional CLIP similarity (0.1598).
Semantic segmentation algorithms fine-tuned with InstructWT-augmented data demonstrated substantial performance improvements in complex weather scenarios.

Conclusions:

InstructWT represents a significant advancement in diffusion-based weather image translation, offering improved realism and diversity.
The method effectively addresses the limitations of GAN-based approaches and enhances the utility of synthetic data for downstream tasks.
InstructWT shows strong potential for applications requiring realistic multi-weather image generation and robust computer vision models.