Papers with Code 아카이브

3D Reconstruction

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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

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/bean-young/ai4radiology

공식 코드

Explicit and Implicit Representations in AI-based 3D Reconstruction for Radiology: A Systematic Review

https://github.com/bednarikjan/texless_defsurf_recon

공식 코드

Learning to Reconstruct Texture-less Deformable Surfaces from a Single View

https://github.com/beileicui/surgicaldino

공식 코드

Surgical-DINO: Adapter Learning of Foundation Models for Depth Estimation in Endoscopic Surgery

https://github.com/bio-phys/BioEM

공식 코드

A Bayesian approach for extracting free energy profiles from cryo-electron microscopy experiments using a path collective variable

https://github.com/bit-ml/DeCLIP

공식 코드

DeCLIP: Decoding CLIP representations for deepfake localization

https://github.com/bit-ml/avh-align

공식 코드

Circumventing shortcuts in audio-visual deepfake detection datasets with unsupervised learning

https://github.com/bit-ml/dolos

공식 코드

Weakly-supervised deepfake localization in diffusion-generated images

https://github.com/biter0088/pc-nerf

공식 코드

PC-NeRF: Parent-Child Neural Radiance Fields under Partial Sensor Data Loss in Autonomous Driving Environments

https://github.com/bllanos/linear-probe

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Do-It-Yourself Single Camera 3D Pointer Input Device

https://github.com/blue-531/talos

공식 코드

TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight

https://github.com/boelukas/mariner

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MaRINeR: Enhancing Novel Views by Matching Rendered Images with Nearby References

https://github.com/bok-bok/MSOC

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A Multi-Stream Fusion Approach with One-Class Learning for Audio-Visual Deepfake Detection

https://github.com/boqian-li/ETCH

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ETCH: Generalizing Body Fitting to Clothed Humans via Equivariant Tightness

https://github.com/boqian-li/GarmentDreamer

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GarmentDreamer: 3DGS Guided Garment Synthesis with Diverse Geometry and Texture Details

https://github.com/boutiquelee/deepfakeempiricalstudy

공식 코드

How Generalizable are Deepfake Image Detectors? An Empirical Study

https://github.com/boycehbz/chomp

공식 코드

Occluded Human Body Capture with Self-Supervised Spatial-Temporal Motion Prior

https://github.com/brack-wang/x-field

공식 코드

X-Field: A Physically Grounded Representation for 3D X-ray Reconstruction

https://github.com/bu-cisl/sbrnet

공식 코드

Robust single-shot 3D fluorescence imaging in scattering media with a simulator-trained neural network

https://github.com/caiyuanhao1998/sax-nerf

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Structure-Aware Sparse-View X-ray 3D Reconstruction

https://github.com/calum-green/xct-xdrct_paper_code

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Three-Dimensional, Multimodal Synchrotron Data for Machine Learning Applications

https://github.com/canonical-capsules/canonical-capsules

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Canonical Capsules: Self-Supervised Capsules in Canonical Pose

https://github.com/cc-hpc-itwm/DeepFakeDetection

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Unmasking DeepFakes with simple Features

https://github.com/cfeng16/audio-visual-forensics

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Self-Supervised Video Forensics by Audio-Visual Anomaly Detection

https://github.com/chandlerbing65nm/FakeImageDetection

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Frequency Masking for Universal Deepfake Detection

https://github.com/changhaonan/mono-star-demo

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Mono-STAR: Mono-camera Scene-level Tracking and Reconstruction

https://github.com/charliesong1999/flashdreamer

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Enhancing Monocular 3D Scene Completion with Diffusion Model

https://github.com/charrrrrlie/mask-as-supervision

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Mask as Supervision: Leveraging Unified Mask Information for Unsupervised 3D Pose Estimation

https://github.com/chelsea234/hifi_ifdl

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DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection

https://github.com/chelsea234/m2f2_det

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Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face Detector

https://github.com/chengzhag/pansplat

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PanSplat: 4K Panorama Synthesis with Feed-Forward Gaussian Splatting

https://github.com/chenhaoxing/DeMamba

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DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark

https://github.com/chenhsing/ssp3d

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Semi-Supervised Single-View 3D Reconstruction via Prototype Shape Priors

https://github.com/chenhsuanlin/photometric-mesh-optim

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Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction

https://github.com/chenhsuanlin/signed-distance-SRN

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SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images

https://github.com/chenkang455/usp-gaussian

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USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian Splatting

https://github.com/cherubicxn/neat

공식 코드

NEAT: Distilling 3D Wireframes from Neural Attraction Fields

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