https://github.com/johannwyh/meat
공식 코드MEAT: Multiview Diffusion Model for Human Generation on Megapixels with Mesh Attention
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/junpan19/ETDM
공식 코드Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling
https://github.com/junpan19/RRN
공식 코드https://github.com/junpan19/RSDN
공식 코드Video Super-Resolution with Recurrent Structure-Detail Network
https://github.com/junpan19/VSR_TGA
공식 코드https://github.com/junshutang/3DFaceShop
공식 코드3DFaceShop: Explicitly Controllable 3D-Aware Portrait Generation
https://github.com/junwuzhang19/repaint123
공식 코드https://github.com/justimyhxu/grm
공식 코드GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation
https://github.com/karlygzhu/rgan
공식 코드A Lightweight Recurrent Grouping Attention Network for Video Super-Resolution
https://github.com/kimsure/tcnet-for-vsr
공식 코드Temporal Consistency Learning of inter-frames for Video Super-Resolution
https://github.com/kiteretsu77/vcisr-official
공식 코드VCISR: Blind Single Image Super-Resolution with Video Compression Synthetic Data
https://github.com/kkakkkka/MambaTalk
공식 코드MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models
https://github.com/kuis-ai-tekalp-research-group/perceptual-vsr
공식 코드Spatio-Temporal Perception-Distortion Trade-off in Learned Video SR
https://github.com/kwanyun/LeGO_code
공식 코드https://github.com/labshuhanggu/lrti-vsr
공식 코드https://github.com/labshuhanggu/mia-vsr
공식 코드Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention
https://github.com/lin-jinwei/OneTo3D
공식 코드OneTo3D: One Image to Re-editable Dynamic 3D Model and Video Generation
https://github.com/linjing7/VR-Baseline
공식 코드Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration
https://github.com/littlewhitesea/STDAN
공식 코드STDAN: Deformable Attention Network for Space-Time Video Super-Resolution
https://github.com/liuyuan-pal/syncdreamer
공식 코드SyncDreamer: Generating Multiview-consistent Images from a Single-view Image
https://github.com/llmpass/RSTT
공식 코드RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution
https://github.com/lovepiano/SMFN
공식 코드A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-Resolution
https://github.com/lovepiano/SMFN_For_360VSR
공식 코드A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-Resolution
https://github.com/lutao2021/DiMeR
공식 코드https://github.com/marcopesavento/Super-resolution-3D-Human-Shape-from-a-Single-Low-Resolution-Image
공식 코드Super-resolution 3D Human Shape from a Single Low-Resolution Image
https://github.com/megvii-research/wacv2024-safa
공식 코드Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution
https://github.com/microsoft/MeshTransformer
공식 코드End-to-End Human Pose and Mesh Reconstruction with Transformers
https://github.com/microsoft/vsr-challenge
공식 코드ICME 2025 Grand Challenge on Video Super-Resolution for Video Conferencing
https://github.com/mks0601/3DMPPE_POSENET_RELEASE
공식 코드Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image
https://github.com/mks0601/3DMPPE_ROOTNET_RELEASE
공식 코드Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image
https://github.com/msu-video-group/erqa
공식 코드ERQA: Edge-Restoration Quality Assessment for Video Super-Resolution
https://github.com/msu-video-group/srdm
공식 코드Combining Contrastive and Supervised Learning for Video Super-Resolution Detection
https://github.com/muelea/shapy
공식 코드Accurate 3D Body Shape Regression using Metric and Semantic Attributes
https://github.com/nichenxingmeng/STDAN
공식 코드Spatio-Temporal Distortion Aware Omnidirectional Video Super-Resolution
https://github.com/nicolasugrinovic/size_depth_disambiguation
공식 코드Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images
https://github.com/nqian1/survey-on-odisr-and-odvsr
공식 코드A Systematic Investigation on Deep Learning-Based Omnidirectional Image and Video Super-Resolution
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.