https://github.com/hjr37/CG-SLAM
CG-SLAM: Efficient Dense RGB-D SLAM in a Consistent Uncertainty-aware 3D Gaussian Field
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/hkust-vgd/nerfstyle
https://github.com/hugoycj/2d-gaussian-splatting-great-again
2D Gaussian Splatting for Geometrically Accurate Radiance Fields
https://github.com/hugoycj/torch-bakedsdf
https://github.com/hyzhou404/hugsim
HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous Driving
https://github.com/iPERDance/iPERCore
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis
https://github.com/idiap/geonerf
https://github.com/ingra14m/Lightweight-Deformable-GS
Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction
https://github.com/ishanchadha01/lightneus
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
https://github.com/jamesperlman/nerfrendercore
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/jingma-git/NeRF_Pytorch
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/jingsenzhu/i2-sdf
I$^2$-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs
https://github.com/kair-bair/nerfacc
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
https://github.com/kakaobrain/NeRF-Factory
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/keloee/maskfield
Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields
https://github.com/ken2576/vision-nerf
Vision Transformer for NeRF-Based View Synthesis from a Single Input Image
https://github.com/keras-team/keras-io/blob/master/examples/vision/nerf.py
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/kklemon/gon-pytorch
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/komeiharada/learn_DL_together
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/krrish94/nerf-pytorch
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/kwea123/nerf_pl
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/kwea123/ngp_pl
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
https://github.com/laura-a-n-n/tf-garf
GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation
https://github.com/laura-a-n-n/tf-nlr
https://github.com/leminhbinh0209/add
Deferred Neural Rendering: Image Synthesis using Neural Textures
https://github.com/linketic/citygaussian
CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians
https://github.com/m-schuetz/compute_rasterizer
https://github.com/machc/spherical_embeddings
https://github.com/manurare/360monodepth
360MonoDepth: High-Resolution 360° Monocular Depth Estimation
https://github.com/matsuren/nerf_jax_flax_practice
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/merlresearch/Gear-NeRF
Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-aware Spatio-Temporal Sampling
https://github.com/mjmjeong/InfoNeRF
InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering
https://github.com/mlakhal/gtnet
https://github.com/mli0603/blenderneuralangelo
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
https://github.com/muskie82/monogs
https://github.com/myagues/flax_nerf
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.