Papers with Code 아카이브

Novel View Synthesis

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 2
평가표: 24
보존된 평가 기록: 103

Synthesize a target image with an arbitrary target camera pose from given source images and their camera poses.

See Wiki for more introductions.

The Synthesis method include: NeRF, MPI and so on.

<span style="color:grey; opacity: 0.6">( Image credit: Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence )</span>

코드

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

https://github.com/s3anwu/pbrnerf

공식 코드

PBR-NeRF: Inverse Rendering with Physics-Based Neural Fields

https://github.com/sailor-z/se-gs

공식 코드

Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis

https://github.com/sainingzhang/uc-gs

공식 코드

Drone-assisted Road Gaussian Splatting with Cross-view Uncertainty

https://github.com/samuel-cerezo/SLAM-Render

공식 코드

SLAM&Render: A Benchmark for the Intersection Between Neural Rendering, Gaussian Splatting and SLAM

https://github.com/sarafridov/k-planes

공식 코드

K-Planes: Explicit Radiance Fields in Space, Time, and Appearance

https://github.com/sarroccoluigi/combinerf

공식 코드

CombiNeRF: A Combination of Regularization Techniques for Few-Shot Neural Radiance Field View Synthesis

https://github.com/sccsok/coprguard

공식 코드

Harnessing Frequency Spectrum Insights for Image Copyright Protection Against Diffusion Models

https://github.com/schindlerepfl/thermo-nerf

공식 코드

ThermoNeRF: Joint RGB and Thermal Novel View Synthesis for Building Facades using Multimodal Neural Radiance Fields

https://github.com/schmiddo/noposegs

공식 코드

Look Gauss, No Pose: Novel View Synthesis using Gaussian Splatting without Accurate Pose Initialization

https://github.com/sebulo/PuTT

공식 코드

Coarse-To-Fine Tensor Trains for Compact Visual Representations

https://github.com/sfchng/Gaussian-Activated-Radiance-Fields

공식 코드

GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation

https://github.com/shawn615/FlipNeRF

공식 코드

FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis

https://github.com/shawn615/MixNeRF

공식 코드

MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs

https://github.com/shiran-yuan/archonview

공식 코드

Next-Scale Autoregressive Models are Zero-Shot Single-Image Object View Synthesizers

https://github.com/shiran-yuan/slimmerf

공식 코드

SlimmeRF: Slimmable Radiance Fields

https://github.com/shiyujiao/SVNVS

공식 코드

Self-Supervised Visibility Learning for Novel View Synthesis

https://github.com/showlab/devrf

공식 코드

DeVRF: Fast Deformable Voxel Radiance Fields for Dynamic Scenes

https://github.com/showlab/headshot

공식 코드

Novel View Synthesis for High-fidelity Headshot Scenes

https://github.com/shreyesss/hdrsplat

공식 코드

HDRSplat: Gaussian Splatting for High Dynamic Range 3D Scene Reconstruction from Raw Images

https://github.com/shubhendu-jena/neural-mesh-based-graphics

공식 코드

Neural Mesh-Based Graphics

https://github.com/sjojok/vgos

공식 코드

VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs

https://github.com/sjtuzq/point-radiance

공식 코드

Differentiable Point-Based Radiance Fields for Efficient View Synthesis

https://github.com/skhu101/gauhuman

공식 코드

GauHuman: Articulated Gaussian Splatting from Monocular Human Videos

https://github.com/skhu101/humangif

공식 코드

HumanGif: Single-View Human Diffusion with Generative Prior

https://github.com/smbonilla/gaussianpancakes

공식 코드

Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic Reconstruction

https://github.com/snap-research/NeROIC

공식 코드

NeROIC: Neural Rendering of Objects from Online Image Collections

https://github.com/snap-research/mobiler2l

공식 코드

Real-Time Neural Light Field on Mobile Devices

https://github.com/snap-research/r2l

공식 코드

R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis

https://github.com/snldmt/SPARS3R

공식 코드

SPARS3R: Semantic Prior Alignment and Regularization for Sparse 3D Reconstruction

https://github.com/snldmt/bags

공식 코드

BAGS: Blur Agnostic Gaussian Splatting through Multi-Scale Kernel Modeling

https://github.com/sony/genwarp

공식 코드

GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping

https://github.com/spectacularai/3dgs-deblur

공식 코드

Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion

https://github.com/spla-tam/splatam

공식 코드

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM

https://github.com/srameo/le3d

공식 코드

Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis

https://github.com/stevliu/editnerf

공식 코드

Editing Conditional Radiance Fields

https://github.com/sunset1995/directvoxgo

공식 코드

Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction

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