https://github.com/vita-group/fsgs
FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting
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/vita-group/ins
https://github.com/vsitzmann/deepvoxels
https://github.com/vsitzmann/scene-representation-networks
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
https://github.com/wandb/awesome-dl-projects
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/wandb/gallery
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/wljungbergh/neuroncap
https://github.com/xg-chu/gagavatar
GPAvatar: Generalizable and Precise Head Avatar from Image(s)
https://github.com/xiandenis/iPERCore
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis
https://github.com/xiuyu0000/papers_with_examples/tree/main/nerf
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/xk-huang/nerf.mindspore
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/xk-huang/yet-another-nerf
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/xrenaa/look-outside-room
Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image
https://github.com/xuchen-ethz/continuous_view_synthesis
Monocular Neural Image Based Rendering with Continuous View Control
https://github.com/yangyucheng000/NERF
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/yashbhalgat/HashNeRF-pytorch
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
https://github.com/yenchenlin/nerf-pytorch
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/yilundu/cross_attention_renderer
Learning to Render Novel Views from Wide-Baseline Stereo Pairs
https://github.com/yuehaowang/nerf-pytorch
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/yulunwu0108/FatesGS
https://github.com/zhipeixu/fakeshield
https://github.com/zju3dv/ENeRF
Efficient Neural Radiance Fields for Interactive Free-viewpoint Video
https://github.com/zju3dv/EasyMocap
https://github.com/zubair-irshad/NeRF-MAE
NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.