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/wangyida/ra-neus

공식 코드

RaNeuS: Ray-adaptive Neural Surface Reconstruction

https://github.com/wangys16/freesplat

공식 코드

FreeSplat: Generalizable 3D Gaussian Splatting Towards Free-View Synthesis of Indoor Scenes

https://github.com/wayveai/wayve_scenes

공식 코드

WayveScenes101: A Dataset and Benchmark for Novel View Synthesis in Autonomous Driving

https://github.com/weify627/4D-Rotor-Gaussians

공식 코드

4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes

https://github.com/wengflow/robust-e-nerf

공식 코드

Robust e-NeRF: NeRF from Sparse & Noisy Events under Non-Uniform Motion

https://github.com/wimmerth/gaussians2life

공식 코드

Gaussians-to-Life: Text-Driven Animation of 3D Gaussian Splatting Scenes

https://github.com/wrld/free-surgs

공식 코드

Free-SurGS: SfM-Free 3D Gaussian Splatting for Surgical Scene Reconstruction

https://github.com/wrld/uc-nerf

공식 코드

UC-NeRF: Uncertainty-aware Conditional Neural Radiance Fields from Endoscopic Sparse Views

https://github.com/wu-cvgl/casualhdrsplat

공식 코드

CasualHDRSplat: Robust High Dynamic Range 3D Gaussian Splatting from Casually Captured Videos

https://github.com/wu-cvgl/inceventgs

공식 코드

IncEventGS: Pose-Free Gaussian Splatting from a Single Event Camera

https://github.com/wyc-chang/immpi

공식 코드

Remote Sensing Novel View Synthesis with Implicit Multiplane Representations

https://github.com/wyf0912/contextgs

공식 코드

ContextGS: Compact 3D Gaussian Splatting with Anchor Level Context Model

https://github.com/xg-chu/gpavatar

공식 코드

GPAvatar: Generalizable and Precise Head Avatar from Image(s)

https://github.com/xianzuwu/Niagara

공식 코드

Niagara: Normal-Integrated Geometric Affine Field for Scene Reconstruction from a Single View

https://github.com/xiaobiaodu/MVGS

공식 코드

MVGS: Multi-view-regulated Gaussian Splatting for Novel View Synthesis

https://github.com/xingyi-li/symmnerf

공식 코드

SymmNeRF: Learning to Explore Symmetry Prior for Single-View View Synthesis

https://github.com/xiyichen/morphablediffusion

공식 코드

Morphable Diffusion: 3D-Consistent Diffusion for Single-image Avatar Creation

https://github.com/xtu-pr-lab/sanerf

공식 코드

Structure-Aware NeRF without Posed Camera via Epipolar Constraint

https://github.com/xtu-pr-lab/sfmnerf

공식 코드

Improving Neural Radiance Fields with Depth-aware Optimization for Novel View Synthesis

https://github.com/xubaixinxbx/3dheads

공식 코드

Deformable Model-Driven Neural Rendering for High-Fidelity 3D Reconstruction of Human Heads Under Low-View Settings

https://github.com/xubaixinxbx/high-fidelity-3d-reconstruction-of-human-heads

공식 코드

Deformable Model-Driven Neural Rendering for High-Fidelity 3D Reconstruction of Human Heads Under Low-View Settings

https://github.com/xuchen-ethz/fast-snarf

공식 코드

Fast-SNARF: A Fast Deformer for Articulated Neural Fields

https://github.com/xuhu0529/sags

공식 코드

SAGD: Boundary-Enhanced Segment Anything in 3D Gaussian via Gaussian Decomposition

https://github.com/xujiacong/thermal-nerf

공식 코드

Leveraging Thermal Modality to Enhance Reconstruction in Low-Light Conditions

https://github.com/yangcaoai/3dgs-det

공식 코드

3DGS-DET: Empower 3D Gaussian Splatting with Boundary Guidance and Box-Focused Sampling for 3D Object Detection

https://github.com/yanghb22-fdu/hi3d-official

공식 코드

Hi3D: Pursuing High-Resolution Image-to-3D Generation with Video Diffusion Models

https://github.com/yanivw12/gs2mesh

공식 코드

GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views

https://github.com/yh-yoon/gmt

공식 코드

GMT: Enhancing Generalizable Neural Rendering via Geometry-Driven Multi-Reference Texture Transfer

https://github.com/yhyang-myron/DreamComposer

공식 코드

DreamComposer: Controllable 3D Object Generation via Multi-View Conditions

https://github.com/yifyang993/cr-nerf-pytorch

공식 코드

Cross-Ray Neural Radiance Fields for Novel-view Synthesis from Unconstrained Image Collections

https://github.com/yihangchen-ee/fcgs

공식 코드

Fast Feedforward 3D Gaussian Splatting Compression

https://github.com/yihangchen-ee/hac

공식 코드

HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression

https://github.com/yihangchen-ee/hac-plus

공식 코드

HAC++: Towards 100X Compression of 3D Gaussian Splatting

https://github.com/yihangchen-ee/pcgs

공식 코드

PCGS: Progressive Compression of 3D Gaussian Splatting

https://github.com/yihua7/SC-GS

공식 코드

SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes

https://github.com/yisiluo/continuous-representation-zoo

공식 코드

Continuous Representation Methods, Theories, and Applications: An Overview and Perspectives

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