Nothing Special   »   [go: up one dir, main page]

Li et al., 2021 - Google Patents

D2im-net: Learning detail disentangled implicit fields from single images

Li et al., 2021

View PDF
Document ID
5835481600620268542
Author
Li M
Zhang H
Publication year
Publication venue
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

External Links

Snippet

We present the first single-view 3D reconstruction network aimed at recovering geometric details from an input image which encompass both topological shape structures and surface features. Our key idea is to train the network to learn a detail disentangled reconstruction …
Continue reading at openaccess.thecvf.com (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/003D [Three Dimensional] image rendering
    • G06T15/10Geometric effects
    • G06T15/20Perspective computation
    • G06T15/205Image-based rendering
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268Feature extraction; Face representation
    • G06K9/00281Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6201Matching; Proximity measures
    • G06K9/6202Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/003D [Three Dimensional] image rendering
    • G06T15/50Lighting effects
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T9/00Image coding, e.g. from bit-mapped to non bit-mapped
    • G06T9/001Model-based coding, e.g. wire frame
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T13/00Animation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00Indexing scheme for image data processing or generation, in general
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions

Similar Documents

Publication Publication Date Title
Li et al. D2im-net: Learning detail disentangled implicit fields from single images
Alldieck et al. Photorealistic monocular 3d reconstruction of humans wearing clothing
Wang et al. Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction
Hou et al. 3d-sis: 3d semantic instance segmentation of rgb-d scans
Wang et al. Flownet3d++: Geometric losses for deep scene flow estimation
Wang et al. Adaptive O-CNN: A patch-based deep representation of 3D shapes
Liu et al. Robust dynamic radiance fields
Kulon et al. Weakly-supervised mesh-convolutional hand reconstruction in the wild
Baek et al. Pushing the envelope for rgb-based dense 3d hand pose estimation via neural rendering
Xie et al. Fig-nerf: Figure-ground neural radiance fields for 3d object category modelling
Lin et al. Photometric mesh optimization for video-aligned 3d object reconstruction
Dupont et al. Equivariant neural rendering
Kar et al. Learning a multi-view stereo machine
Yao et al. Front2back: Single view 3d shape reconstruction via front to back prediction
Raj et al. Pva: Pixel-aligned volumetric avatars
Ji et al. SurfaceNet+: An end-to-end 3D neural network for very sparse multi-view stereopsis
Raj et al. Pixel-aligned volumetric avatars
Pavllo et al. Shape, pose, and appearance from a single image via bootstrapped radiance field inversion
Hu et al. Hvtr: Hybrid volumetric-textural rendering for human avatars
Liu et al. High-quality textured 3D shape reconstruction with cascaded fully convolutional networks
Sun et al. Ssl-net: Point-cloud generation network with self-supervised learning
Khan et al. An efficient encoder–decoder model for portrait depth estimation from single images trained on pixel-accurate synthetic data
Lu et al. Single image shape-from-silhouettes
Hani et al. Continuous object representation networks: Novel view synthesis without target view supervision
Zeng et al. Inferring point clouds from single monocular images by depth intermediation