Papers Monocular Reconstruction
“Monocular Reconstruction” 태그가 달린 논문 34편 · 필터 해제
MoReMouse: Monocular Reconstruction of Laboratory Mouse
Laboratory mice play a crucial role in biomedical research, yet accurate 3D mouse surface motion reconstruction remains challenging due to their complex non-rigid geometric deformations and textureless appearance. Moreov…
3D Reconstruction3D Surface GenerationMonocular ReconstructionDreamTexture: Shape from Virtual Texture with Analysis by Augmentation
DreamFusion established a new paradigm for unsupervised 3D reconstruction from virtual views by combining advances in generative models and differentiable rendering. However, the underlying multi-view rendering, along wi…
3D ReconstructionMonocular ReconstructionFATE: Full-head Gaussian Avatar with Textural Editing from Monocular Video
Reconstructing high-fidelity, animatable 3D head avatars from effortlessly captured monocular videos is a pivotal yet formidable challenge. Although significant progress has been made in rendering performance and manipul…
AttributeMonocular ReconstructionDisambiguating Monocular Reconstruction of 3D Clothed Human with Spatial-Temporal Transformer
Reconstructing 3D clothed humans from monocular camera data is highly challenging due to viewpoint limitations and image ambiguity. While implicit function-based approaches, combined with prior knowledge from parametric …
Monocular ReconstructionDynOMo: Online Point Tracking by Dynamic Online Monocular Gaussian Reconstruction
Reconstructing scenes and tracking motion are two sides of the same coin. Tracking points allow for geometric reconstruction [14], while geometric reconstruction of (dynamic) scenes allows for 3D tracking of points over …
Mixed RealityMonocular ReconstructionPoint TrackingRobot NavigationEndo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting
In the realm of robot-assisted minimally invasive surgery, dynamic scene reconstruction can significantly enhance downstream tasks and improve surgical outcomes. Neural Radiance Fields (NeRF)-based methods have recently …
Depth EstimationDynamic ReconstructionMonocular Depth EstimationMonocular Reconstruction+2Splatter Image: Ultra-Fast Single-View 3D Reconstruction
We introduce the \method, an ultra-efficient approach for monocular 3D object reconstruction. Splatter Image is based on Gaussian Splatting, which allows fast and high-quality reconstruction of 3D scenes from multiple im…
3D Object Reconstruction3D ReconstructionGPUMonocular Reconstruction+2T-Code: Simple Temporal Latent Code for Efficient Dynamic View Synthesis
Novel view synthesis for dynamic scenes is one of the spotlights in computer vision. The key to efficient dynamic view synthesis is to find a compact representation to store the information across time. Though existing m…
Monocular ReconstructionNovel View SynthesisTensor Decomposition360° Volumetric Portrait Avatar
We propose 360{\deg} Volumetric Portrait (3VP) Avatar, a novel method for reconstructing 360{\deg} photo-realistic portrait avatars of human subjects solely based on monocular video inputs. State-of-the-art monocular ava…
Human ParsingMonocular ReconstructionA Quantitative Evaluation of Dense 3D Reconstruction of Sinus Anatomy from Monocular Endoscopic Video
Generating accurate 3D reconstructions from endoscopic video is a promising avenue for longitudinal radiation-free analysis of sinus anatomy and surgical outcomes. Several methods for monocular reconstruction have been p…
3D ReconstructionAnatomyBenchmarkingDepth Estimation+1Reconstructing Animatable Categories from Videos
Building animatable 3D models is challenging due to the need for 3D scans, laborious registration, and manual rigging, which are difficult to scale to arbitrary categories. Recently, differentiable rendering provides a p…
3D Shape Reconstruction from VideosDynamic ReconstructionMonocular ReconstructionFarm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion
We present Farm3D, a method for learning category-specific 3D reconstructors for articulated objects, relying solely on "free" virtual supervision from a pre-trained 2D diffusion-based image generator. Recent approaches …
Monocular ReconstructionObjectCherryPicker: Semantic Skeletonization and Topological Reconstruction of Cherry Trees
In plant phenotyping, accurate trait extraction from 3D point clouds of trees is still an open problem. For automatic modeling and trait extraction of tree organs such as blossoms and fruits, the semantically segmented p…
Monocular ReconstructionPlant PhenotypingSemantic SegmentationDomain Engineering for Applied Monocular Reconstruction of Parametric Faces
Many modern online 3D applications and video games rely on parametric models of human faces for creating believable avatars. However, manually reproducing someone's facial likeness with a parametric model is difficult an…
Domain AdaptationMonocular ReconstructionApplied monocular reconstruction of parametric faces with domain engineering
Many modern online 3D applications and videogames rely on parametric models of human faces for creating believable avatars. However, manual reproduction of someone's facial likeness with a parametric model is difficult a…
Domain AdaptationMonocular ReconstructionDeconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter
This paper presents an open and comprehensive framework to systematically evaluate state-of-the-art contributions to self-supervised monocular depth estimation. This includes pretraining, backbone, architectural design c…
Depth EstimationMonocular Depth EstimationMonocular ReconstructionNeural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera
We propose Neural-DynamicReconstruction (NDR), a template-free method to recover high-fidelity geometry and motions of a dynamic scene from a monocular RGB-D camera. In NDR, we adopt the neural implicit function for surf…
Dynamic Reconstructionglobal-optimizationMonocular ReconstructionRGB-D Reconstruction+1DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension
We tackle the problem of monocular 3D reconstruction of articulated objects like humans and animals. We contribute DensePose 3D, a method that can learn such reconstructions in a weakly supervised fashion from 2D image a…
3D ReconstructionMonocular ReconstructionObjectUnsupervised Learning of 3D Object Categories from Videos in the Wild
Our goal is to learn a deep network that, given a small number of images of an object of a given category, reconstructs it in 3D. While several recent works have obtained analogous results using synthetic data or assumin…
BenchmarkingMonocular ReconstructionObjectTowards High Fidelity Monocular Face Reconstruction with Rich Reflectance using Self-supervised Learning and Ray Tracing
Robust face reconstruction from monocular image in general lighting conditions is challenging. Methods combining deep neural network encoders with differentiable rendering have opened up the path for very fast monocular …
3D Face ReconstructionFace ReconstructionMonocular ReconstructionSelf-Supervised Learning