21 citations · 24 across the 24 of their papers we have counts for
25 papers
MonoPhysics: Estimating Geometry, Appearance, and Physical Parameters from Monocular Videos
Daniel Rho, Jun Myeong Choi, Matthew Thornton +2
Existing inverse physics methods recover physical parameters from multi-view videos, where geometric constraints across views resolve scale and 3D structure. In monocular settings,…
HarmoVid: Relightful Video Portrait Harmonization
Jun Myeong Choi, Jae Shin Yoon, Luchao Qi +2
We present a method for harmonizing the lighting of a foreground video to match a target background scene, adjusting shadows, color tone, and illumination intensity (relightful har…
Understanding Model Behavior in Monocular Polyp Sizing
Xinqi Xiong, Andrea Dunn Beltran, Junmyeong Choi +3
Accurate polyp size stratification guides surveillance decisions, with lesions larger than 5 mm typically requiring closer follow-up. However, monocular colonoscopy lacks a reliabl…
Stop Holding Your Breath: CT-Informed Gaussian Splatting for Dynamic Bronchoscopy
Andrea Dunn Beltran, Daniel Rho, Aarav Mehta +5
Bronchoscopic navigation relies on registering endoscopic video to a preoperative CT scan, but respiratory motion deforms the airway by 5-20 mm, creating CT-to-body divergence that…
Over++: Generative Video Compositing for Layer Interaction Effects
Luchao Qi, Jiaye Wu, Jun Myeong Choi +3
In professional video compositing workflows, artists must manually create environmental interactions-such as shadows, reflections, dust, and splashes-between foreground subjects an…
GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures
Patrick Noras, Jun Myeong Choi, Didier Stricker +2
Recent advances in Gaussian Splatting-based inverse rendering extend Gaussian primitives with shading parameters and physically grounded light transport, enabling high-quality mate…
GLOW: Global Illumination-Aware Inverse Rendering of Indoor Scenes Captured with Dynamic Co-Located Light & Camera
Jiaye Wu, Saeed Hadadan, Geng Lin +5
Inverse rendering of indoor scenes remains challenging due to the ambiguity between reflectance and lighting, exacerbated by inter-reflections among multiple objects. While natural…
Prune-Then-Plan: Step-Level Calibration for Stable Frontier Exploration in Embodied Question Answering
Noah Frahm, Prakrut Patel, Yue Zhang +3
Large vision-language models (VLMs) have improved embodied question answering (EQA) agents by providing strong semantic priors for open-vocabulary reasoning. However, when used dir…
EditCast3D: Single-Frame-Guided 3D Editing with Video Propagation and View Selection
Huaizhi Qu, Ruichen Zhang, Shuqing Luo +5
Recent advances in foundation models have driven remarkable progress in image editing, yet their extension to 3D editing remains underexplored. A natural approach is to replace the…
The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion
Bang Gong, Luchao Qi, Jiaye Wu +5
We introduce the Aging Multiverse, a framework for generating multiple plausible facial aging trajectories from a single image, each conditioned on external factors such as environ…
ProJo4D: Progressive Joint Optimization for Sparse-View Inverse Physics Estimation
Daniel Rho, Jun Myeong Choi, Biswadip Dey +1
Neural rendering has advanced significantly in 3D reconstruction and novel view synthesis, and integrating physics into these frameworks opens new applications such as physically a…
TalkingHeadBench: A Multi-Modal Benchmark & Analysis of Talking-Head DeepFake Detection
Xinqi Xiong, Prakrut Patel, Qingyuan Fan +6
The rapid advancement of talking-head deepfake generation fueled by advanced generative models has elevated the realism of synthetic videos to a level that poses substantial risks…
VIN-NBV: A View Introspection Network for Next-Best-View Selection
Noah Frahm, Dongxu Zhao, Andrea Dunn Beltran +4
Next Best View (NBV) algorithms aim to maximize 3D scene acquisition quality using minimal resources, e.g. number of acquisitions, time taken, or distance traversed. Prior methods…
PPS-Ctrl: Controllable Sim-to-Real Translation for Colonoscopy Depth Estimation
Xinqi Xiong, Andrea Dunn Beltran, Jun Myeong Choi +2
Accurate depth estimation enhances endoscopy navigation and diagnostics, but obtaining ground-truth depth in clinical settings is challenging. Synthetic datasets are often used for…
Continual Learning of Personalized Generative Face Models with Experience Replay
Annie N. Wang, Luchao Qi, Roni Sengupta
We introduce a novel continual learning problem: how to sequentially update the weights of a personalized 2D and 3D generative face model as new batches of photos in different appe…
NFL-BA: Near-Field Light Bundle Adjustment for SLAM in Dynamic Lighting
Andrea Dunn Beltran, Daniel Rho, Marc Niethammer +1
Simultaneous Localization and Mapping (SLAM) systems typically assume static, distant illumination; however, many real-world scenarios, such as endoscopy, subterranean robotics, an…
ScribbleLight: Single Image Indoor Relighting with Scribbles
Jun Myeong Choi, Annie Wang, Pieter Peers +2
Image-based relighting of indoor rooms creates an immersive virtual understanding of the space, which is useful for interior design, virtual staging, and real estate. Relighting in…
MyTimeMachine: Personalized Facial Age Transformation
Luchao Qi, Jiaye Wu, Bang Gong +3
Facial aging is a complex process, highly dependent on multiple factors like gender, ethnicity, lifestyle, etc., making it extremely challenging to learn a global aging prior to pr…
Structure-preserving Image Translation for Depth Estimation in Colonoscopy Video
Shuxian Wang, Akshay Paruchuri, Zhaoxi Zhang +2
Monocular depth estimation in colonoscopy video aims to overcome the unusual lighting properties of the colonoscopic environment. One of the major challenges in this area is the do…
Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos
Akshay Paruchuri, Samuel Ehrenstein, Shuxian Wang +4
Monocular depth estimation in endoscopy videos can enable assistive and robotic surgery to obtain better coverage of the organ and detection of various health issues. Despite promi…
GaNI: Global and Near Field Illumination Aware Neural Inverse Rendering
Jiaye Wu, Saeed Hadadan, Geng Lin +3
In this paper, we present GaNI, a Global and Near-field Illumination-aware neural inverse rendering technique that can reconstruct geometry, albedo, and roughness parameters from i…
Personalized Video Relighting With an At-Home Light Stage
Jun Myeong Choi, Max Christman, Roni Sengupta
In this paper, we develop a personalized video relighting algorithm that produces high-quality and temporally consistent relit videos under any pose, expression, and lighting condi…
Joint Depth Prediction and Semantic Segmentation with Multi-View SAM
Mykhailo Shvets, Dongxu Zhao, Marc Niethammer +2
Multi-task approaches to joint depth and segmentation prediction are well-studied for monocular images. Yet, predictions from a single-view are inherently limited, while multiple v…
My3DGen: A Scalable Personalized 3D Generative Model
Luchao Qi, Jiaye Wu, Annie N. Wang +2
In recent years, generative 3D face models (e.g., EG3D) have been developed to tackle the problem of synthesizing photo-realistic faces. However, these models are often unable to c…