2 citations · 5 across the 15 of their papers we have counts for
15 papers · 1 filter
Recency Forcing: Bridging the Long-Horizon Gap in Autoregressive Video Generation
Tri Cao, Hung Nguyen, Phong Nguyen +1
Autoregressive (AR) video generation degrades over long horizons due to an overlooked train-inference discrepancy we term KV eviction mismatch: models train on short clips where al…
Cross-Space Distillation: Teaching One-Step Students with Modern Diffusion Teachers
Anh Nguyen, Ngan Nguyen, Duc Vu +11
Modern one-step diffusion models achieve impressive quality through distribution-based timestep distillation. Yet, they rely on a critical assumption: Teacher and Student must inha…
SwiftPie: Lightning-fast Subject-driven Image Personalization via One step Diffusion
Huy Duong, Trong-Tung Nguyen, Cuong Pham +3
Diffusion models have achieved remarkable success in high-quality image synthesis, sparking interest in image-guided generation tasks such as subject-driven image personalization.…
InverFill: One-Step Inversion for Enhanced Few-Step Diffusion Inpainting
Duc Vu, Kien Nguyen, Trong-Tung Nguyen +5
Recent diffusion-based models achieve photorealism in image inpainting but require many sampling steps, limiting practical use. Few-step text-to-image models offer faster generatio…
CSD-VAR: Content-Style Decomposition in Visual Autoregressive Models
Quang-Binh Nguyen, Minh Luu, Quang Nguyen +2
Disentangling content and style from a single image, known as content-style decomposition (CSD), enables recontextualization of extracted content and stylization of extracted style…
EditScout: Locating Forged Regions from Diffusion-based Edited Images with Multimodal LLM
Quang Nguyen, Truong Vu, Trong-Tung Nguyen +6
Image editing technologies are tools used to transform, adjust, remove, or otherwise alter images. Recent research has significantly improved the capabilities of image editing tool…
SwiftEdit: Lightning Fast Text-Guided Image Editing via One-Step Diffusion
Trong-Tung Nguyen, Quang Nguyen, Khoi Nguyen +2
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-i…
Supercharged One-step Text-to-Image Diffusion Models with Negative Prompts
Viet Nguyen, Anh Nguyen, Trung Dao +4
The escalating demand for real-time image synthesis has driven significant advancements in one-step diffusion models, which inherently offer expedited generation speeds compared to…
Any3DIS: Class-Agnostic 3D Instance Segmentation by 2D Mask Tracking
Phuc Nguyen, Minh Luu, Anh Tran +2
Existing 3D instance segmentation methods frequently encounter issues with over-segmentation, leading to redundant and inaccurate 3D proposals that complicate downstream tasks. Thi…
SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher
Trung Dao, Thuan Hoang Nguyen, Thanh Le +4
In this paper, we aim to enhance the performance of SwiftBrush, a prominent one-step text-to-image diffusion model, to be competitive with its multi-step Stable Diffusion counterpa…
OE3DIS: Open-Ended 3D Point Cloud Instance Segmentation
Phuc D. A. Nguyen, Minh Luu, Anh Tran +2
Open-Vocab 3D Instance Segmentation methods (OV-3DIS) have recently demonstrated their ability to generalize to unseen objects. However, these methods still depend on predefined cl…
OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding
Francis Engelmann, Ayca Takmaz, Jonas Schult +25
This report provides an overview of the challenge hosted at the OpenSUN3D Workshop on Open-Vocabulary 3D Scene Understanding held in conjunction with ICCV 2023. The goal of this wo…
Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance
Phuc D. A. Nguyen, Tuan Duc Ngo, Evangelos Kalogerakis +4
We introduce Open3DIS, a novel solution designed to tackle the problem of Open-Vocabulary Instance Segmentation within 3D scenes. Objects within 3D environments exhibit diverse sha…
Stable Messenger: Steganography for Message-Concealed Image Generation
Quang Nguyen, Truong Vu, Cuong Pham +2
In the ever-expanding digital landscape, safeguarding sensitive information remains paramount. This paper delves deep into digital protection, specifically focusing on steganograph…
LP-OVOD: Open-Vocabulary Object Detection by Linear Probing
Chau Pham, Truong Vu, Khoi Nguyen
This paper addresses the challenging problem of open-vocabulary object detection (OVOD) where an object detector must identify both seen and unseen classes in test images without l…