19 citations · 41 across the 14 of their papers we have counts for
14 papers
EcoSplat: Efficiency-controllable Feed-forward 3D Gaussian Splatting from Multi-view Images
Jongmin Park, Minh-Quan Viet Bui, Juan Luis Gonzalez Bello +3
Feed-forward 3D Gaussian Splatting (3DGS) enables efficient one-pass scene reconstruction, providing 3D representations for novel view synthesis without per-scene optimization. How…
MoBGS: Motion Deblurring Dynamic 3D Gaussian Splatting for Blurry Monocular Video
Minh-Quan Viet Bui, Jongmin Park, Juan Luis Gonzalez Bello +3
We present MoBGS, a novel motion deblurring 3D Gaussian Splatting (3DGS) framework capable of reconstructing sharp and high-quality novel spatio-temporal views from blurry monocula…
SplineGS: Robust Motion-Adaptive Spline for Real-Time Dynamic 3D Gaussians from Monocular Video
Jongmin Park, Minh-Quan Viet Bui, Juan Luis Gonzalez Bello +3
Synthesizing novel views from in-the-wild monocular videos is challenging due to scene dynamics and the lack of multi-view cues. To address this, we propose SplineGS, a COLMAP-free…
From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact Prior
Jaeho Moon, Juan Luis Gonzalez Bello, Byeongjun Kwon +1
Self-supervised monocular depth estimation (DE) is an approach to learning depth without costly depth ground truths. However, it often struggles with moving objects that violate th…
ProNeRF: Learning Efficient Projection-Aware Ray Sampling for Fine-Grained Implicit Neural Radiance Fields
Juan Luis Gonzalez Bello, Minh-Quan Viet Bui, Munchurl Kim
Recent advances in neural rendering have shown that, albeit slow, implicit compact models can learn a scene's geometries and view-dependent appearances from multiple views. To main…
Novel View Synthesis with View-Dependent Effects from a Single Image
Juan Luis Gonzalez Bello, Munchurl Kim
In this paper, we firstly consider view-dependent effects into single image-based novel view synthesis (NVS) problems. For this, we propose to exploit the camera motion priors in N…
ARGUS: Visualization of AI-Assisted Task Guidance in AR
Sonia Castelo, Joao Rulff, Erin McGowan +15
The concept of augmented reality (AR) assistants has captured the human imagination for decades, becoming a staple of modern science fiction. To pursue this goal, it is necessary t…
Urban Rhapsody: Large-scale exploration of urban soundscapes
Joao Rulff, Fabio Miranda, Maryam Hosseini +5
Noise is one of the primary quality-of-life issues in urban environments. In addition to annoyance, noise negatively impacts public health and educational performance. While low-co…
Positional Information is All You Need: A Novel Pipeline for Self-Supervised SVDE from Videos
Juan Luis Gonzalez Bello, Jaeho Moon, Munchurl Kim
Recently, much attention has been drawn to learning the underlying 3D structures of a scene from monocular videos in a fully self-supervised fashion. One of the most challenging as…
PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting Loss
Juan Luis Gonzalez Bello, Munchurl Kim
In this paper, we propose a self-supervised single-view pixel-level accurate depth estimation network, called PLADE-Net. The PLADE-Net is the first work that shows unprecedented ac…
Pan-Sharpening with Color-Aware Perceptual Loss and Guided Re-Colorization
Juan Luis Gonzalez Bello, Soomin Seo, Munchurl Kim
We present a novel color-aware perceptual (CAP) loss for learning the task of pan-sharpening. Our CAP loss is designed to focus on the deep features of a pre-trained VGG network th…
Deep 3D Pan via adaptive "t-shaped" convolutions with global and local adaptive dilations
Juan Luis Gonzalez Bello, Munchurl Kim
Recent advances in deep learning have shown promising results in many low-level vision tasks. However, solving the single-image-based view synthesis is still an open problem. In pa…
Deep 3D-Zoom Net: Unsupervised Learning of Photo-Realistic 3D-Zoom
Juan Luis Gonzalez Bello, Munchurl Kim
The 3D-zoom operation is the positive translation of the camera in the Z-axis, perpendicular to the image plane. In contrast, the optical zoom changes the focal length and the digi…
A Novel Monocular Disparity Estimation Network with Domain Transformation and Ambiguity Learning
Juan Luis Gonzalez Bello, Munchurl Kim
Convolutional neural networks (CNN) have shown state-of-the-art results for low-level computer vision problems such as stereo and monocular disparity estimations, but still, have m…