https://github.com/xrenaa/CS-DisMo
공식 코드Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement
Papers with Code 아카이브
Reconstruction
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/xuchen-ethz/SNARF
공식 코드SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes
https://github.com/yanx27/JS3C-Net
공식 코드https://github.com/yasaminjafarian/HDNet_TikTok
공식 코드Self-supervised 3D Representation Learning of Dressed Humans from Social Media Videos
https://github.com/yefanzhou/dispersion-score
공식 코드https://github.com/yuan-xiaohan/4d-myocardium-reconstruction-with-decoupled-motion-and-shape-model
공식 코드4D Myocardium Reconstruction with Decoupled Motion and Shape Model
https://github.com/yuliangxiu/icon
공식 코드https://github.com/yuxumin/PoinTr
공식 코드PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
https://github.com/yuyanzhou1/improving-lens-flare-removal
공식 코드Improving Lens Flare Removal with General Purpose Pipeline and Multiple Light Sources Recovery
https://github.com/yztang4/hap
공식 코드Human as Points: Explicit Point-based 3D Human Reconstruction from Single-view RGB Images
https://github.com/zcsrenlongz/deblur4dgs
공식 코드Deblur4DGS: 4D Gaussian Splatting from Blurry Monocular Video
https://github.com/zengwang430521/DecoMR
공식 코드https://github.com/zhangyp15/occformer
공식 코드OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction
https://github.com/zhaofang0627/anchorudf
공식 코드https://github.com/zhou13/symmetrynet
공식 코드Learning to Detect 3D Reflection Symmetry for Single-View Reconstruction
https://github.com/AndreeaDogaru/Gen3DSR
Gen3DSR: Generalizable 3D Scene Reconstruction via Divide and Conquer from a Single View
https://github.com/ChrisWu1997/PQ-NET
https://github.com/Droliven/pymaf_reimplementation
PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop
https://github.com/Gitikameher/Domain-Adaptive-Single-View-3D-Reconstruction
https://github.com/Jeff-sjtu/HybrIK
HybrIK-X: Hybrid Analytical-Neural Inverse Kinematics for Whole-body Mesh Recovery
https://github.com/JeremyFisher/few_shot_3dr
Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors
https://github.com/JiangWenPL/multiperson
Coherent Reconstruction of Multiple Humans from a Single Image
https://github.com/Jianghanxiao/PhysTwin
PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos
https://github.com/Junyi42/monst3r
MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion
https://github.com/Linyou/D3DGS
Gaussian-Flow: 4D Reconstruction with Dynamic 3D Gaussian Particle
https://github.com/MindSpore-scientific/code-13/tree/main/Luminance-Guided-Chrominance-Enhancement-for-HEVC-Intra-Coding
Luminance Attentive Networks for HDR Image and Panorama Reconstruction
https://github.com/Mistral-Twirl/3D-Point-Cloud-Metrics
https://github.com/NJU-3DV/Gaussian-Flow
Gaussian-Flow: 4D Reconstruction with Dynamic 3D Gaussian Particle
https://github.com/agnJason/RGB-D-PIFuHD
PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization
https://github.com/ahnobari/Range-GAN
https://github.com/ailiop/idvf
Iterative Inversion of Deformation Vector Fields with Feedback Control
https://github.com/astra-vision/lmscnet
https://github.com/astra-vision/monoscene
https://github.com/bharat-b7/IPNet
Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction
https://github.com/byeongjun-park/HarmonyView
SyncDreamer: Generating Multiview-consistent Images from a Single-view Image
https://github.com/caiyuanhao1998/PNGAN
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.