51 citations · 164 across the 49 of their papers we have counts for
56 papers
VisionQ: VLM-as-a-Judge Taxonomy, Dataset and Benchmark for Qualitative Analysis in Computer Vision
Vu Dinh Xuan, Duc-Hai Nguyen, Minh-Dung Dao +6
Qualitative comparison figures are central evidence in computer vision papers, and vision-language models (VLMs) are increasingly used to judge them. Yet existing benchmarks score…
Physically Based Rendering in the Latent Space
Vuk Radovanovic, Vishesh Gupta, Adrien Gruson +1
Image diffusion models have shown impressive image generation capabilities but are often hard to control, in contrast to classical computer graphics pipelines such as physically ba…
Evaluating Mesh Reconstruction Methods for Crop Phenotyping
Karanvir Singh, Theo Morales, Binh-Son Hua +1
Phenotyping an agricultural crop is crucial for studying its entire life cycle, as it provides vital insights to improve yield and, ultimately, food production. Doing the same for…
TruncGradGS: Improved 3D Gaussian Splatting via Truncated Gradient Updates
Theo Morales, Nhat-Quynh Le-Pham, Robin Atkins +1
3D Gaussian Splatting has become a de facto scene representation for novel view synthesis, yet robustly learning 3D Gaussian primitives from visual input remains challenging. Stand…
Track the Noise, Move the World:3D-Grounded Motion-Consistent Noise for Controllable Video Generation
Long Vu, Tan Ngo, Animesh Karnewar +5
Modern image-and-text-to-video diffusion models can synthesize highly realistic videos by iteratively denoising an initial Gaussian noise tensor conditioned on reference image and…
SwiftTailor: Efficient 3D Garment Generation with Geometry Image Representation
Phuc Pham, Uy Dieu Tran, Binh-Son Hua +1
Realistic and efficient 3D garment generation remains a longstanding challenge in computer vision and digital fashion. Existing methods typically rely on large vision- language mod…
FROMAT: Multiview Material Appearance Transfer via Few-Shot Self-Attention Adaptation
Hubert Kompanowski, Varun Jampani, Aaryaman Vasishta +1
Multiview diffusion models have rapidly emerged as a powerful tool for content creation with spatial consistency across viewpoints, offering rich visual realism without requiring e…
Power of Boundary and Reflection: Semantic Transparent Object Segmentation using Pyramid Vision Transformer with Transparent Cues
Tuan-Anh Vu, Hai Nguyen-Truong, Ziqiang Zheng +4
Glass is a prevalent material among solid objects in everyday life, yet segmentation methods struggle to distinguish it from opaque materials due to its transparency and reflection…
Domain Generalization via Pareto Optimal Gradient Matching
Khoi Do, Duong Nguyen, Nam-Khanh Le +3
In this study, we address the gradient-based domain generalization problem, where predictors aim for consistent gradient directions across different domains. Existing methods have…
AUTV: Creating Underwater Video Datasets with Pixel-wise Annotations
Quang Trung Truong, Wong Yuk Kwan, Duc Thanh Nguyen +2
Underwater video analysis, hampered by the dynamic marine environment and camera motion, remains a challenging task in computer vision. Existing training-free video generation tech…
Color Alignment in Diffusion
Ka Chun Shum, Binh-Son Hua, Duc Thanh Nguyen +1
Diffusion models have shown great promise in synthesizing visually appealing images. However, it remains challenging to condition the synthesis at a fine-grained level, for instanc…
Text-to-3D Generation using Jensen-Shannon Score Distillation
Khoi Do, Binh-Son Hua
Score distillation sampling is an effective technique to generate 3D models from text prompts, utilizing pre-trained large-scale text-to-image diffusion models as guidance. However…
LiftRefine: Progressively Refined View Synthesis from 3D Lifting with Volume-Triplane Representations
Tung Do, Thuan Hoang Nguyen, Anh Tuan Tran +2
We propose a new view synthesis method via synthesizing a 3D neural field from both single or few-view input images. To address the ill-posed nature of the image-to-3D generation p…
SharpDepth: Sharpening Metric Depth Predictions Using Diffusion Distillation
Duc-Hai Pham, Tung Do, Phong Nguyen +3
We propose SharpDepth, a novel approach to monocular metric depth estimation that combines the metric accuracy of discriminative depth estimation methods (e.g., Metric3D, UniDepth)…
ModeDreamer: Mode Guiding Score Distillation for Text-to-3D Generation using Reference Image Prompts
Uy Dieu Tran, Minh Luu, Phong Ha Nguyen +2
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…
Dream-in-Style: Text-to-3D Generation Using Stylized Score Distillation
Hubert Kompanowski, Binh-Son Hua
We present a method to generate 3D objects in styles. Our method takes a text prompt and a style reference image as input and reconstructs a neural radiance field to synthesize a 3…
Vision-Aware Text Features in Referring Image Segmentation: From Object Understanding to Context Understanding
Hai Nguyen-Truong, E-Ro Nguyen, Tuan-Anh Vu +3
Referring image segmentation is a challenging task that involves generating pixel-wise segmentation masks based on natural language descriptions. The complexity of this task increa…
DiDA: Video Object Segmentation with Distillation Learning of Deformable Attention
Quang-Trung Truong, Duc Thanh Nguyen, Binh-Son Hua +1
Video object segmentation is a fundamental research problem in computer vision. Recent techniques have often applied attention mechanism to object representation learning from vide…
Catch Me If You Can Describe Me: Open-Vocabulary Camouflaged Instance Segmentation with Diffusion
Tuan-Anh Vu, Duc Thanh Nguyen, Qing Guo +4
Text-to-image diffusion techniques have shown exceptional capabilities in producing high-quality, dense visual predictions from open-vocabulary text. This indicates a strong correl…
DiverseDream: Diverse Text-to-3D Synthesis with Augmented Text Embedding
Uy Dieu Tran, Minh Luu, Phong Ha Nguyen +2
Text-to-3D synthesis has recently emerged as a new approach to sampling 3D models by adopting pretrained text-to-image models as guiding visual priors. An intriguing but underexplo…
Test-Time Augmentation for 3D Point Cloud Classification and Segmentation
Tuan-Anh Vu, Srinjay Sarkar, Zhiyuan Zhang +2
Data augmentation is a powerful technique to enhance the performance of a deep learning task but has received less attention in 3D deep learning. It is well known that when 3D shap…
Advances in 3D Neural Stylization: A Survey
Yingshu Chen, Guocheng Shao, Ka Chun Shum +2
Modern artificial intelligence offers a novel and transformative approach to creating digital art across diverse styles and modalities like images, videos and 3D data, unleashing t…
UWA360CAM: A 360 24/7 Real-Time Streaming Camera System for Underwater Applications
Quan-Dung Pham, Yipeng Zhu, Tan-Sang Ha +3
Omnidirectional camera is a cost-effective and information-rich sensor highly suitable for many marine applications and the ocean scientific community, encompassing several domains…
Locally Stylized Neural Radiance Fields
Hong-Wing Pang, Binh-Son Hua, Sai-Kit Yeung
In recent years, there has been increasing interest in applying stylization on 3D scenes from a reference style image, in particular onto neural radiance fields (NeRF). While perfo…