https://github.com/VITA-Group/NeuralLift-360
공식 코드NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views
Papers with Code 아카이브
3D Absolute Human Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 4
- 평가표
- 3
- 보존된 평가 기록
- 6
This task aims to solve absolute (camera-centric not root-relative) 3D human pose estimation.
<span style="color:grey; opacity: 0.6">( Image credit: RootNet )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Vchitect/LaVie
공식 코드LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models
https://github.com/VincentHancoder/REPARO
공식 코드REPARO: Compositional 3D Assets Generation with Differentiable 3D Layout Alignment
https://github.com/WU-CVGL/MVControl-threestudio
공식 코드Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting
https://github.com/XinyiYing/D3Dnet
공식 코드https://github.com/YadiraF/DECA
공식 코드Learning an Animatable Detailed 3D Face Model from In-The-Wild Images
https://github.com/Ysz2022/Fourier123
공식 코드Hybrid Fourier Score Distillation for Efficient One Image to 3D Object Generation
https://github.com/akashsengupta1997/STRAPS-3DHumanShapePose
공식 코드Synthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild
https://github.com/akashsengupta1997/hierarchicalprobabilistic3dhuman
공식 코드https://github.com/alexandrosstergiou/adaPool
공식 코드AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling
https://github.com/alimd94/fedvsr
공식 코드FedVSR: Towards Model-Agnostic Federated Learning in Video Super-Resolution
https://github.com/amanchadha/iSeeBetter
공식 코드https://github.com/avinashpaliwal/Deep-SloMo
공식 코드Deep Slow Motion Video Reconstruction with Hybrid Imaging System
https://github.com/bjmch/MRVSR
공식 코드https://github.com/boqian-li/ETCH
공식 코드ETCH: Generalizing Body Fitting to Clothed Humans via Equivariant Tightness
https://github.com/byeongjun-park/HarmonyView
공식 코드HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D
https://github.com/caojiezhang/VSR-Transformer
공식 코드https://github.com/caojiezhang/davsr
공식 코드Towards Interpretable Video Super-Resolution via Alternating Optimization
https://github.com/charlesnchr/vsr-sim
공식 코드Spatio-temporal Vision Transformer for Super-resolution Microscopy
https://github.com/chensong1995/deblursr
공식 코드DeblurSR: Event-Based Motion Deblurring Under the Spiking Representation
https://github.com/chenvoid/diffusiontalker
공식 코드https://github.com/chiyich/egovsr
공식 코드EgoVSR: Towards High-Quality Egocentric Video Super-Resolution
https://github.com/ckkelvinchan/basicvsr_plusplus
공식 코드On the Generalization of BasicVSR++ to Video Deblurring and Denoising
https://github.com/ckkelvinchan/realbasicvsr
공식 코드Investigating Tradeoffs in Real-World Video Super-Resolution
https://github.com/claudiom4sir/stablevsr
공식 코드https://github.com/codeslake/RefVSR
공식 코드Reference-based Video Super-Resolution Using Multi-Camera Video Triplets
https://github.com/continental/6img-to-3d
공식 코드6Img-to-3D: Few-Image Large-Scale Outdoor Driving Scene Reconstruction
https://github.com/coulsonlee/stdo-cvpr2023
공식 코드Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting
https://github.com/csbhr/Deep-Blind-VSR
공식 코드https://github.com/csbhr/self-blind-vsr
공식 코드https://github.com/csxmli2016/DFDNet
공식 코드Blind Face Restoration via Deep Multi-scale Component Dictionaries
https://github.com/cszn/BSRGAN
공식 코드Designing a Practical Degradation Model for Deep Blind Image Super-Resolution
https://github.com/cszn/SRMD
공식 코드Learning a Single Convolutional Super-Resolution Network for Multiple Degradations
https://github.com/cvlab-columbia/zero123
공식 코드https://github.com/dachunkai/ev-deblurvsr
공식 코드https://github.com/dachunkai/evtexture
공식 코드EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.