HCI.TOPHCI, made easy

arrow_backBack to questions View categoryarrow_forward

General AI Systems and Interaction Design / Model Steering, Latent Space Editing, and Knowledge Injection

How can deep learning models incorporating denoising CNNs (DnCNN) optimize anti-interference capability in underwater channel estimation?

helpResearch questionModel Steering, Latent Space Editing, and Knowledge Injection

How can deep learning models incorporating denoising CNNs (DnCNN) optimize anti-interference capability in underwater channel estimation?

UbiComp '21Deep Learning Based Underwater Acoustic Channel Estimation Exploiting Physical Knowledge on Channel Sparsity

Similar questions

helpResearch questionModel Steering, Latent Space Editing, and Knowledge Injection

Which visual elements in mobile app design may trigger user seizures?

CHI '25MoWa: An Authoring Tool for Refining AI-Generated Human Avatar Motions Through Latent Waveform Manipulation

helpResearch questionModel Steering, Latent Space Editing, and Knowledge Injection

What potential seizure-triggering scenarios do user reviews reflect?

CHI '25MoWa: An Authoring Tool for Refining AI-Generated Human Avatar Motions Through Latent Waveform Manipulation

helpResearch questionModel Steering, Latent Space Editing, and Knowledge Injection

Do existing design guidelines comprehensively cover epilepsy risk factors?

CHI '25MoWa: An Authoring Tool for Refining AI-Generated Human Avatar Motions Through Latent Waveform Manipulation

helpResearch questionModel Steering, Latent Space Editing, and Knowledge Injection

How can slider tools in text-to-image generation models be optimized to improve users' interaction experience?

CHI '25AdaptiveSliders: User-aligned Semantic Slider-based Editing of Text-to-Image Model Output

helpResearch questionModel Steering, Latent Space Editing, and Knowledge Injection

How can slider ranges be dynamically adjusted to avoid generating images beyond normal boundaries?

CHI '25AdaptiveSliders: User-aligned Semantic Slider-based Editing of Text-to-Image Model Output

helpResearch questionModel Steering, Latent Space Editing, and Knowledge Injection

How can latent space entanglement of image semantic attributes be mitigated to improve multi-attribute editing?

CHI '25AdaptiveSliders: User-aligned Semantic Slider-based Editing of Text-to-Image Model Output

Related papers

MoWa: An Authoring Tool for Refining AI-Generated Human Avatar Motions Through Latent Waveform Manipulation

Jeongseok Oh, SeungJun Kim

AdaptiveSliders: User-aligned Semantic Slider-based Editing of Text-to-Image Model Output

Rahul Jain, Amit Goel, Koichiro Niinuma

SpaceEditing: A Latent Space Editing Interface for Integrating Human Knowledge into Deep Neural Networks

Jiafu Wei, Ding Xia, Haoran Xie

Sample, Nudge and Rank: Exploiting Interpretable GAN Controls for Exploratory Search

Yang Liu, Alan Medlar, Dorota Głowacka

Genie in the Model: Automatic Generation of Human-in-the-Loop Deep Neural Networks for Mobile Applications

Yanfei Wang, Zhiwen Yu, Sicong Liu

How Can Deep Neural Networks Aid Visualization Perception Research?: Three Studies on Correlation Judgments in Scatterplots

Fumeng Yang, Yuxin Ma, Lane Harrison

Continuous and Gradual Style Changes of Graphic Designs with Generative Model

Michihiko Ueno, Shin'ichi Satoh

DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data

Erfan Pakdamanian, Shili Sheng, Sonia Baee