https://github.com/sail-sg/numcc
공식 코드NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF
Papers with Code 아카이브
Single-View 3D Reconstruction
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sascha-kirch/VoloGAN
공식 코드VoloGAN: Adversarial Domain Adaptation for Synthetic Depth Data
https://github.com/szymanowiczs/splatter-image
공식 코드https://github.com/val-iisc/3d-lmnet
공식 코드https://github.com/waterljwant/SSC
공식 코드Anisotropic Convolutional Networks for 3D Semantic Scene Completion
https://github.com/xrenaa/CS-DisMo
공식 코드Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement
https://github.com/yanx27/JS3C-Net
공식 코드https://github.com/yefanzhou/dispersion-score
공식 코드https://github.com/yuxumin/PoinTr
공식 코드PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
https://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/Gitikameher/Domain-Adaptive-Single-View-3D-Reconstruction
https://github.com/JeremyFisher/few_shot_3dr
Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors
https://github.com/Mistral-Twirl/3D-Point-Cloud-Metrics
https://github.com/ahnobari/Range-GAN
https://github.com/astra-vision/lmscnet
https://github.com/astra-vision/monoscene
https://github.com/byeongjun-park/HarmonyView
SyncDreamer: Generating Multiview-consistent Images from a Single-view Image
https://github.com/charlesCXK/3D-SketchAware-SSC
3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior
https://github.com/charlesCXK/TorchSSC
3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior
https://github.com/czq142857/im-net
https://github.com/czq142857/im-net-pytorch
https://github.com/hailieqh/3d-object-primitive-graph
https://github.com/jazcollins/amazon-berkeley-objects
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding
https://github.com/kach/softraxterizer
Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning
https://github.com/nv-tlabs/DIB-R
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer
https://github.com/nvlabs/umr
Self-supervised Single-view 3D Reconstruction via Semantic Consistency
https://github.com/sagieppel/Predicting-3D-shape-of-liquid-and-objects-inside-transparent-vessels-as-XYZ-map-from-a-single-image
https://github.com/shuhongchen/panic3d-anime-reconstruction
PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characters
https://github.com/skyworkai/mvgamba
Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction
https://github.com/szymanowiczs/viewset-diffusion
Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data
https://github.com/umich-curly/3dmapping
https://github.com/vast-ai-research/triplanegaussian
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.