Papers with Code 아카이브

3D Reconstruction

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크
7
평가표
10
보존된 평가 기록
44

3D Reconstruction is the task of creating a 3D model or representation of an object or scene from 2D images or other data sources. The goal of 3D reconstruction is to create a virtual representation of an object or scene that can be used for a variety of purposes, such as visualization, animation, simulation, and analysis. It can be used in fields such as computer vision, robotics, and virtual reality.

Image: Gwak et al

평가 결과

데이터셋과 평가 조건을 선택해 성능·논문·코드를 비교하세요. 보존된 Papers with Code 기록으로, 최신 순위는 아닙니다.

NYUv2

원본 태스크: 3D Reconstruction / 3D Semantic Scene Completion

평가 기록 28건

DTU

원본 태스크: 3D Reconstruction

평가 기록 24건

SemanticKITTI

원본 태스크: 3D Reconstruction / 3D Semantic Scene Completion

평가 기록 20건

FakeAVCeleb

원본 태스크: 3D Reconstruction / 3D Shape Reconstruction from Videos / DeepFake Detection

평가 기록 13건

Human3.6M

원본 태스크: 3D Reconstruction / Unsupervised 3D Human Pose Estimation

평가 기록 12건

4D-DRESS

원본 태스크: 3D Reconstruction / Garment Reconstruction

평가 기록 9건

SemanticKITTI

원본 태스크: 3D Reconstruction / 3D Semantic Scene Completion / 3D Semantic Scene Completion from a single RGB image

평가 기록 9건

Stanford2D3D Panoramic

원본 태스크: 3D Reconstruction / 3D Room Layouts From A Single RGB Panorama

평가 기록 9건

ASVspoof 2021

원본 태스크: 3D Reconstruction / 3D Shape Reconstruction from Videos / DeepFake Detection / Audio Deepfake Detection

평가 기록 8건

ShapeNet

원본 태스크: 3D Reconstruction

평가 기록 8건

KITTI-360

원본 태스크: 3D Reconstruction / 3D Semantic Scene Completion

평가 기록 7건

PanoContext

원본 태스크: 3D Reconstruction / 3D Room Layouts From A Single RGB Panorama

평가 기록 7건

FaceForensics++

원본 태스크: 3D Reconstruction / 3D Shape Reconstruction from Videos / DeepFake Detection

평가 기록 6건

NYUv2

원본 태스크: 3D Reconstruction / 3D Semantic Scene Completion / 3D Semantic Scene Completion from a single RGB image

평가 기록 6건

Data3D−R2N2

원본 태스크: 3D Reconstruction

평가 기록 4건

KITTI-360

원본 태스크: 3D Reconstruction / 3D Semantic Scene Completion / 3D Semantic Scene Completion from a single RGB image

평가 기록 4건

MPI-INF-3DHP

원본 태스크: 3D Reconstruction / Unsupervised 3D Human Pose Estimation

평가 기록 4건

PRO-teXt

원본 태스크: 3D Reconstruction / 3D Semantic Scene Completion

평가 기록 4건

DFDC

원본 태스크: 3D Reconstruction / 3D Shape Reconstruction from Videos / DeepFake Detection

평가 기록 3건

Realtor360

원본 태스크: 3D Reconstruction / 3D Room Layouts From A Single RGB Panorama

평가 기록 2건

Scan2CAD

원본 태스크: 3D Reconstruction

평가 기록 2건

1

원본 태스크: 3D Reconstruction / 3D Shape Reconstruction from Videos / DeepFake Detection

평가 기록 1건

300W

원본 태스크: 3D Reconstruction

평가 기록 1건

3DPeople

원본 태스크: 3D Reconstruction

평가 기록 1건

^(#$!@#$)(()))******

원본 태스크: 3D Reconstruction / 3D Shape Reconstruction from Videos / DeepFake Detection

평가 기록 1건

ApolloCar3D

원본 태스크: 3D Reconstruction

평가 기록 1건

COCOFake

원본 태스크: 3D Reconstruction / 3D Shape Reconstruction from Videos / DeepFake Detection

평가 기록 1건

DFFD

원본 태스크: 3D Reconstruction / 3D Shape Reconstruction from Videos / DeepFake Detection

평가 기록 1건

FaceForensics

원본 태스크: 3D Reconstruction / 3D Shape Reconstruction from Videos / DeepFake Detection

평가 기록 1건

FakeAVCeleb

원본 태스크: 3D Reconstruction / 3D Shape Reconstruction from Videos / DeepFake Detection / Multimodal Forgery Detection

평가 기록 1건

FakeOrReal

원본 태스크: 3D Reconstruction / 3D Shape Reconstruction from Videos / DeepFake Detection / Audio Deepfake Detection

평가 기록 1건

LAV-DF

원본 태스크: 3D Reconstruction / 3D Shape Reconstruction from Videos / DeepFake Detection

평가 기록 1건

ScanNet

원본 태스크: 3D Reconstruction

평가 기록 1건

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.