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20102026
most citedToward Multimodal Image-to-Image Translation

1k citations

Showing 2025Show all

48 papers · 1 filter

cs.CV2025★ 1 cited

Learning to Refocus with Video Diffusion Models

SaiKiran Tedla, Zhoutong Zhang, Xuaner Zhang +1

Focus is a cornerstone of photography, yet autofocus systems often fail to capture the intended subject, and users frequently wish to adjust focus after capture. We introduce a nov…

cs.CV2025

An evaluation of SVBRDF Prediction from Generative Image Models for Appearance Modeling of 3D Scenes

Alban Gauthier, Valentin Deschaintre, Alexandre Lanvin +3

Digital content creation is experiencing a profound change with the advent of deep generative models. For texturing, conditional image generators now allow the synthesis of realist…

cs.CV2025

Text-Conditioned Background Generation for Editable Multi-Layer Documents

Taewon Kang, Joseph K J, Chris Tensmeyer +4

We present a framework for document-centric background generation with multi-page editing and thematic continuity. To ensure text regions remain readable, we employ a latent maskin…

cs.CR2025

Advanced Data Collection Techniques in Cloud Security: A Multi-Modal Deep Learning Autoencoder Approach

Aamiruddin Syed, Mohammed Ilyas Ahmad

Cloud security is an important concern. To identify and stop cyber threats, efficient data collection methods are necessary. This research presents an innovative method to cloud se…

cs.HC2025

SweeperBot: Making 3D Browsing Accessible through View Analysis and Visual Question Answering

Chen Chen, Cuong Nguyen, Alexa Siu +2

Accessing 3D models remains challenging for Screen Reader (SR) users. While some existing 3D viewers allow creators to provide alternative text, they often lack sufficient detail a…

cs.PL2025

Bonsai: Compiling Queries to Pruned Tree Traversals

Alexander J Root, Christophe Gyurgyik, Purvi Goel +4

Trees can accelerate queries that search or aggregate values over large collections. They achieve this by storing metadata that enables quick pruning (or inclusion) of subtrees whe…