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/liuyuan-pal/syncdreamer

공식 코드

SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

https://github.com/lkeab/gaussian-grouping

공식 코드

Gaussian Grouping: Segment and Edit Anything in 3D Scenes

https://github.com/llrtt/G-NeRF

공식 코드

G-NeRF: Geometry-enhanced Novel View Synthesis from Single-View Images

https://github.com/lsongx/halo

공식 코드

Harnessing Low-Frequency Neural Fields for Few-Shot View Synthesis

https://github.com/lucky9-cyou/S2-NeRF

공식 코드

$S^2$NeRF: Privacy-preserving Training Framework for NeRF

https://github.com/lyndonzheng/Free3D

공식 코드

Free3D: Consistent Novel View Synthesis without 3D Representation

https://github.com/lzhnb/gs-ir

공식 코드

GS-IR: 3D Gaussian Splatting for Inverse Rendering

https://github.com/maeyounes/SparseCraft

공식 코드

SparseCraft: Few-Shot Neural Reconstruction through Stereopsis Guided Geometric Linearization

https://github.com/maeyounes/aa-2dgs

공식 코드

Anti-Aliased 2D Gaussian Splatting

https://github.com/maeyounes/texturesplat

공식 코드

TextureSplat: Per-Primitive Texture Mapping for Reflective Gaussian Splatting

https://github.com/maincold2/CAM

공식 코드

Coordinate-Aware Modulation for Neural Fields

https://github.com/maincold2/Compact-3DGS

공식 코드

Compact 3D Gaussian Representation for Radiance Field

https://github.com/mantangguo/cw4vs

공식 코드

Content-aware Warping for View Synthesis

https://github.com/mattwallingford/360-1m

공식 코드

From an Image to a Scene: Learning to Imagine the World from a Million 360 Videos

https://github.com/maturk/dn-splatter

공식 코드

DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing

https://github.com/mbjurca/RT_GS2

공식 코드

RT-GS2: Real-Time Generalizable Semantic Segmentation for 3D Gaussian Representations of Radiance Fields

https://github.com/mbortolon97/vm-nerf

공식 코드

VM-NeRF: Tackling Sparsity in NeRF with View Morphing

https://github.com/megvii-research/AAAI2023-PVD

공식 코드

One is All: Bridging the Gap Between Neural Radiance Fields Architectures with Progressive Volume Distillation

https://github.com/mihirp1998/Slot-TTA

공식 코드

Test-time Adaptation with Slot-Centric Models

https://github.com/mindflow-institue/awesome-implicit-neural-representations-in-medical-imaging

공식 코드

Implicit Neural Representation in Medical Imaging: A Comparative Survey

https://github.com/mindspore-lab/mindediting

공식 코드

Efficient View Synthesis and 3D-based Multi-Frame Denoising with Multiplane Feature Representations

https://github.com/mjmjeong/physgaia

공식 코드

PhysGaia: A Physics-Aware Dataset of Multi-Body Interactions for Dynamic Novel View Synthesis

https://github.com/mlvlab/UP-NeRF

공식 코드

UP-NeRF: Unconstrained Pose-Prior-Free Neural Radiance Fields

https://github.com/myniuuu/rs-nerf

공식 코드

RS-NeRF: Neural Radiance Fields from Rolling Shutter Images

https://github.com/mzzcdf/thermal3dgs

공식 코드

Thermal3D-GS: Physics-induced 3D Gaussians for Thermal Infrared Novel-view Synthesis

https://github.com/nemo1999/joint-tensorf

공식 코드

Improving Robustness for Joint Optimization of Camera Poses and Decomposed Low-Rank Tensorial Radiance Fields

https://github.com/nex-mpi/nex-code

공식 코드

NeX: Real-time View Synthesis with Neural Basis Expansion

https://github.com/nfyfamr/SafeguardGS

공식 코드

SafeguardGS: 3D Gaussian Primitive Pruning While Avoiding Catastrophic Scene Destruction

https://github.com/nianticlabs/diffusionerf

공식 코드

DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models

https://github.com/nianticlabs/marepo

공식 코드

Map-Relative Pose Regression for Visual Re-Localization

https://github.com/nicolaihaeni/corn

공식 코드

Continuous Object Representation Networks: Novel View Synthesis without Target View Supervision

https://github.com/nikola3794/normal-clustering-nerf

공식 코드

Surface Normal Clustering for Implicit Representation of Manhattan Scenes

https://github.com/nullptr81/3dgs-accel

공식 코드

Taming 3DGS: High-Quality Radiance Fields with Limited Resources

https://github.com/nv-tlabs/3dgrut

공식 코드

3DGUT: Enabling Distorted Cameras and Secondary Rays in Gaussian Splatting

https://github.com/nv-tlabs/GEN3C

공식 코드

GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Control

https://github.com/nvlabs/instant-ngp

공식 코드

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

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