51 citations · 164 across the 49 of their papers we have counts for
6 papers · 1 filter
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…