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/avinashpaliwal/StereoMPD

공식 코드

Implicit View-Time Interpolation of Stereo Videos using Multi-Plane Disparities and Non-Uniform Coordinates

https://github.com/avinashpaliwal/coherentgs

공식 코드

CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians

https://github.com/azhuantou/mixgs

공식 코드

Holistic Large-Scale Scene Reconstruction via Mixed Gaussian Splatting

https://github.com/azzarelli/waveplanes

공식 코드

WavePlanes: Compact Hex Planes for Dynamic Novel View Synthesis

https://github.com/barbararoessle/dense_depth_priors_nerf

공식 코드

Dense Depth Priors for Neural Radiance Fields from Sparse Input Views

https://github.com/benhenryl/sharpnerf

공식 코드

Sharp-NeRF: Grid-based Fast Deblurring Neural Radiance Fields Using Sharpness Prior

https://github.com/bistu3dv/hybridba

공식 코드

Hybrid bundle-adjusting 3D Gaussians for view consistent rendering with pose optimization

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

공식 코드

PC-NeRF: Parent-Child Neural Radiance Fields Using Sparse LiDAR Frames in Autonomous Driving Environments

https://github.com/bluestyle97/PNVS

공식 코드

Layout-Guided Novel View Synthesis from a Single Indoor Panorama

https://github.com/bmild/nerf

공식 코드

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

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

공식 코드

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

https://github.com/bronemos/view-fusion

공식 코드

ViewFusion: Learning Composable Diffusion Models for Novel View Synthesis

https://github.com/buaavrcg/LEGaussians

공식 코드

Language Embedded 3D Gaussians for Open-Vocabulary Scene Understanding

https://github.com/caiyuanhao1998/hdr-gs

공식 코드

HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting

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

공식 코드

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

https://github.com/caiyuanhao1998/x-gaussian

공식 코드

Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis

https://github.com/canessae/altiro3D

공식 코드

altiro3D: Scene representation from single image and novel view synthesis

https://github.com/caoang327/fwd_code

공식 코드

FWD: Real-time Novel View Synthesis with Forward Warping and Depth

https://github.com/cassiePython/CLIPNeRF

공식 코드

CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields

https://github.com/cassiePython/NeRF-Art

공식 코드

NeRF-Art: Text-Driven Neural Radiance Fields Stylization

https://github.com/cekavis/vrsplat

공식 코드

VRSplat: Fast and Robust Gaussian Splatting for Virtual Reality

https://github.com/cg-tuwien/does_3d_gaussian_splatting_need_accurate_volumetric_rendering

공식 코드

Does 3D Gaussian Splatting Need Accurate Volumetric Rendering?

https://github.com/cgtuebingen/Neural-PIL

공식 코드

Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition

https://github.com/chengzhag/pansplat

공식 코드

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

https://github.com/cherubicxn/neat

공식 코드

NEAT: Distilling 3D Wireframes from Neural Attraction Fields

https://github.com/chiehwangs/gaussian-head

공식 코드

GaussianHead: High-fidelity Head Avatars with Learnable Gaussian Derivation

https://github.com/chinhsuanwu/ifusion

공식 코드

iFusion: Inverting Diffusion for Pose-Free Reconstruction from Sparse Views

https://github.com/cmlab-korea/awesome-3d-low-level-vision

공식 코드

R3eVision: A Survey on Robust Rendering, Restoration, and Enhancement for 3D Low-Level Vision

https://github.com/coltonstearns/dynamic-gaussian-marbles

공식 코드

Dynamic Gaussian Marbles for Novel View Synthesis of Casual Monocular Videos

https://github.com/convexsplatting/convex-splatting

공식 코드

3D Convex Splatting: Radiance Field Rendering with 3D Smooth Convexes

https://github.com/cpb68/hdrqa

공식 코드

Perceptual Assessment and Optimization of HDR Image Rendering

https://github.com/cpeng93/XraySyn

공식 코드

XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors

https://github.com/crockwell/pixelsynth

공식 코드

PixelSynth: Generating a 3D-Consistent Experience from a Single Image

https://github.com/cuiziteng/Luminance-GS

공식 코드

Luminance-GS: Adapting 3D Gaussian Splatting to Challenging Lighting Conditions with View-Adaptive Curve Adjustment

https://github.com/cuteyyt/or-nerf

공식 코드

OR-NeRF: Object Removing from 3D Scenes Guided by Multiview Segmentation with Neural Radiance Fields

https://github.com/cvg/NoPoSplat

공식 코드

No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images

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