Zobrazeno 1 - 10
of 934 561
pro vyhledávání: '"Be Nguyen"'
Recent advances in text-guided image editing enable users to perform image edits through simple text inputs, leveraging the extensive priors of multi-step diffusion-based text-to-image models. However, these methods often fall short of the speed dema
Externí odkaz:
http://arxiv.org/abs/2412.04301
Autor:
Nguyen, Quang, Vu, Truong, Nguyen, Trong-Tung, Wen, Yuxin, Robinette, Preston K, Johnson, Taylor T, Goldstein, Tom, Tran, Anh, Nguyen, Khoi
Image editing technologies are tools used to transform, adjust, remove, or otherwise alter images. Recent research has significantly improved the capabilities of image editing tools, enabling the creation of photorealistic and semantically informed f
Externí odkaz:
http://arxiv.org/abs/2412.03809
Recent approaches have yielded promising results in distilling multi-step text-to-image diffusion models into one-step ones. The state-of-the-art efficient distillation technique, i.e., SwiftBrushv2 (SBv2), even surpasses the teacher model's performa
Externí odkaz:
http://arxiv.org/abs/2412.02687
Autor:
Nguyen, Trung-Hieu, Vuong, Truong-Giang, Duong, Hong-Nam, Nguyen, Son, Vo, Hieu Dinh, Aoki, Toshiaki, Nguyen, Thu-Trang
Autonomous vehicles (AVs) have demonstrated significant potential in revolutionizing transportation, yet ensuring their safety and reliability remains a critical challenge, especially when exposed to dynamic and unpredictable environments. Real-world
Externí odkaz:
http://arxiv.org/abs/2412.02574
Autor:
Nguyen, Thi-Nhu-Quynh, Ho, Quang-Huy, Nguyen, Duy-Thai, Le, Hoang-Minh-Quang, Pham, Van-Truong, Tran, Thi-Thao
Early detection of skin abnormalities plays a crucial role in diagnosing and treating skin cancer. Segmentation of affected skin regions using AI-powered devices is relatively common and supports the diagnostic process. However, achieving high perfor
Externí odkaz:
http://arxiv.org/abs/2412.01405
In the field of legal information retrieval, effective embedding-based models are essential for accurate question-answering systems. However, the scarcity of large annotated datasets poses a significant challenge, particularly for Vietnamese legal te
Externí odkaz:
http://arxiv.org/abs/2412.00657
Autor:
Nguyen, Quang Duc, Nguyen, Tung, Nguyen, Duc Anh, Van, Linh Ngo, Dinh, Sang, Nguyen, Thien Huu
Uncovering hidden topics from short texts is challenging for traditional and neural models due to data sparsity, which limits word co-occurrence patterns, and label sparsity, stemming from incomplete reconstruction targets. Although data aggregation
Externí odkaz:
http://arxiv.org/abs/2412.00525
We study how the properties of being reduced, integral domain, and normal, behave under small perturbations of the defining equations of a noetherian local ring. It is not hard to show that the property of being a local integral domain (reduced, norm
Externí odkaz:
http://arxiv.org/abs/2411.19011
ModeDreamer: Mode Guiding Score Distillation for Text-to-3D Generation using Reference Image Prompts
Existing Score Distillation Sampling (SDS)-based methods have driven significant progress in text-to-3D generation. However, 3D models produced by SDS-based methods tend to exhibit over-smoothing and low-quality outputs. These issues arise from the m
Externí odkaz:
http://arxiv.org/abs/2411.18135
Autor:
Vu, Duc Anh, Duy, Nguyen Tran Cong, Wu, Xiaobao, Nhat, Hoang Minh, Mingzhe, Du, Thong, Nguyen Thanh, Luu, Anh Tuan
Large Language Models (LLMs) have shown strong in-context learning (ICL) abilities with a few demonstrations. However, one critical challenge is how to select demonstrations to elicit the full potential of LLMs. In this paper, we propose Curriculum D
Externí odkaz:
http://arxiv.org/abs/2411.18126