arXiv:2506.20946v1 Announce Type: cross Abstract: Current texture synthesis methods, which generate textures from fixed viewpoints, suffer from inconsistencies due to the lack of global context and geometric understanding. Meanwhile, recent advancements in video generation models have demonstrated remarkable success in achieving temporally consistent videos. In this paper, we introduce VideoTex, a novel framework for seamless […]

[Submitted on 14 Sep 2024 (v1), last revised 26 Jun 2025 (this version, v2)] View a PDF of the paper titled Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models, by Alireza Salemi and 1 other authors View PDF HTML (experimental) Abstract:Despite its substantial impact on various search, recommendation, and question answering

[Submitted on 23 Jun 2025 (v1), last revised 26 Jun 2025 (this version, v2)] View a PDF of the paper titled IndieFake Dataset: A Benchmark Dataset for Audio Deepfake Detection, by Abhay Kumar and 2 other authors View PDF HTML (experimental) Abstract:Advancements in audio deepfake technology offers benefits like AI assistants, better accessibility for speech

arXiv:2506.21368v1 Announce Type: cross Abstract: We present a methodology to provide real-time and personalized product recommendations for large e-commerce platforms, specifically focusing on fashion retail. Our approach aims to achieve accurate and scalable recommendations with minimal response times, ensuring user satisfaction, leveraging Graph Neural Networks and parsimonious learning methodologies. Extensive experimentation with datasets from one

[Submitted on 29 Nov 2024 (v1), last revised 26 Jun 2025 (this version, v3)] View a PDF of the paper titled Pretrained Reversible Generation as Unsupervised Visual Representation Learning, by Rongkun Xue and 6 other authors View PDF HTML (experimental) Abstract:Recent generative models based on score matching and flow matching have significantly advanced generation tasks,

[Submitted on 13 Jun 2025 (v1), last revised 26 Jun 2025 (this version, v2)] View a PDF of the paper titled Aligned Novel View Image and Geometry Synthesis via Cross-modal Attention Instillation, by Min-Seop Kwak and 6 other authors View PDF HTML (experimental) Abstract:We introduce a diffusion-based framework that performs aligned novel view image and

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

[Submitted on 19 Feb 2025 (v1), last revised 26 Jun 2025 (this version, v2)] View a PDF of the paper titled Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation, by Qitao Qin and 4 other authors View PDF HTML (experimental) Abstract:Retrieval-Augmented Generation (RAG), by integrating non-parametric knowledge from external knowledge bases into models, has emerged

[Submitted on 17 Oct 2022 (v1), last revised 26 Jun 2025 (this version, v2)] Authors:Jaesung Yoo, Sunghyuk Choi, Ye Seul Yang, Suhyeon Kim, Jieun Choi, Dongkyeong Lim, Yaeji Lim, Hyung Joon Joo, Dae Jung Kim, Rae Woong Park, Hyeong-Jin Yoon, Kwangsoo Kim View a PDF of the paper titled Review learning: Real world validation of

[Submitted on 10 Dec 2024 (v1), last revised 26 Jun 2025 (this version, v2)] View a PDF of the paper titled Moderating the Generalization of Score-based Generative Model, by Wan Jiang and 6 other authors View PDF HTML (experimental) Abstract:Score-based Generative Models (SGMs) have demonstrated remarkable generalization abilities, e.g. generating unseen, but natural data. However,