activity
20182026
most citedLayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image

31 citations · 85 across the 13 of their papers we have counts for

collaborators

14 papers

cs.CV2026

MvFFN: Multi-view Floor plan Feed-forward Network for Unposed Wide-Baseline Panorama Layout Reconstruction

Yuguang Li, Yichuan Deng, Zixuan Liu +5

Reconstructing accurate camera poses and floor-plan layouts from sparse, unposed, wide-baseline RGB panoramas remains a challenging open problem. Direct multi-room floor-plan predi…

cs.CV2025

BADGR: Bundle Adjustment Diffusion Conditioned by GRadients for Wide-Baseline Floor Plan Reconstruction

Yuguang Li, Ivaylo Boyadzhiev, Zixuan Liu +2

Reconstructing precise camera poses and floor plan layouts from wide-baseline RGB panoramas is a difficult and unsolved problem. We introduce BADGR, a novel diffusion model that jo…

cs.CV2023

StableDreamer: Taming Noisy Score Distillation Sampling for Text-to-3D

Pengsheng Guo, Hans Hao, Adam Caccavale +7

In the realm of text-to-3D generation, utilizing 2D diffusion models through score distillation sampling (SDS) frequently leads to issues such as blurred appearances and multi-face…

cs.CV2023

Pseudo-Generalized Dynamic View Synthesis from a Video

Xiaoming Zhao, Alex Colburn, Fangchang Ma +3

Rendering scenes observed in a monocular video from novel viewpoints is a challenging problem. For static scenes the community has studied both scene-specific optimization techniqu…

cs.CV2023★ 2 cited

AutoFocusFormer: Image Segmentation off the Grid

Chen Ziwen, Kaushik Patnaik, Shuangfei Zhai +5

Real world images often have highly imbalanced content density. Some areas are very uniform, e.g., large patches of blue sky, while other areas are scattered with many small object…

cs.CV2023

FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction

Noah Stier, Anurag Ranjan, Alex Colburn +4

Recent works on 3D reconstruction from posed images have demonstrated that direct inference of scene-level 3D geometry without test-time optimization is feasible using deep neural…

cs.CV2023

LivePose: Online 3D Reconstruction from Monocular Video with Dynamic Camera Poses

Noah Stier, Baptiste Angles, Liang Yang +3

Dense 3D reconstruction from RGB images traditionally assumes static camera pose estimates. This assumption has endured, even as recent works have increasingly focused on real-time…

cs.CV2022

Generative Multiplane Images: Making a 2D GAN 3D-Aware

Xiaoming Zhao, Fangchang Ma, David Güera +3

What is really needed to make an existing 2D GAN 3D-aware? To answer this question, we modify a classical GAN, i.e., StyleGANv2, as little as possible. We find that only two modifi…

cs.CV2021

Fast and Explicit Neural View Synthesis

Pengsheng Guo, Miguel Angel Bautista, Alex Colburn +4

We study the problem of novel view synthesis from sparse source observations of a scene comprised of 3D objects. We propose a simple yet effective approach that is neither continuo…

cs.CV2020★ 23 cited

Deep Neural Network Approach for Annual Luminance Simulations

Yue Liu, Alex Colburn, Mehlika Inanici

Annual luminance maps provide meaningful evaluations for occupants' visual comfort, preferences, and perception. However, acquiring long-term luminance maps require labor-intensive…

cs.CV2020★ 21 cited

Equivariant Neural Rendering

Emilien Dupont, Miguel Angel Bautista, Alex Colburn +4

We propose a framework for learning neural scene representations directly from images, without 3D supervision. Our key insight is that 3D structure can be imposed by ensuring that…

cs.CV2019

Learning Stylized Character Expressions from Humans

Deepali Aneja, Alex Colburn, Gary Faigin +2

We present DeepExpr, a novel expression transfer system from humans to multiple stylized characters via deep learning. We developed : 1) a data-driven perceptual model of facial ex…

cs.CV2019★ 8 cited

Manhattan Room Layout Reconstruction from a Single 360 image: A Comparative Study of State-of-the-art Methods

Chuhang Zou, Jheng-Wei Su, Chi-Han Peng +5

Recent approaches for predicting layouts from 360 panoramas produce excellent results. These approaches build on a common framework consisting of three steps: a pre-processing step…

cs.CV2018★ 31 cited

LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image

Chuhang Zou, Alex Colburn, Qi Shan +1

We propose an algorithm to predict room layout from a single image that generalizes across panoramas and perspective images, cuboid layouts and more general layouts (e.g. L-shape r…