Papers with Code 아카이브
Reconstruction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 보존된 평가 기록
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/novestars/neural-pre-processing
공식 코드Neural Pre-Processing: A Learning Framework for End-to-end Brain MRI Pre-processing
https://github.com/nvlabs/voxformer
공식 코드VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion
https://github.com/nwuzhouwei/ssmp
공식 코드https://github.com/pixelite1201/agora_evaluation
공식 코드AGORA: Avatars in Geography Optimized for Regression Analysis
https://github.com/pkqbajng/cgformer
공식 코드Context and Geometry Aware Voxel Transformer for Semantic Scene Completion
https://github.com/postech-ami/hdr-plenoxels
공식 코드HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields
https://github.com/princeton-computational-imaging/DirtyPixels
공식 코드Dirty Pixels: Towards End-to-End Image Processing and Perception
https://github.com/robotic-vision-lab/learning-implicitly-from-spatial-transformers-network
공식 코드LIST: Learning Implicitly from Spatial Transformers for Single-View 3D Reconstruction
https://github.com/sail-sg/numcc
공식 코드NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF
https://github.com/sanghunhan92/2k2k
공식 코드High-fidelity 3D Human Digitization from Single 2K Resolution Images
https://github.com/sascha-kirch/VoloGAN
공식 코드VoloGAN: Adversarial Domain Adaptation for Synthetic Depth Data
https://github.com/sergiuoprea/hgan
공식 코드https://github.com/sharif-apu/twostageHDR_NTIRE21
공식 코드A Two-stage Deep Network for High Dynamic Range Image Reconstruction
https://github.com/shreyesss/hdrsplat
공식 코드HDRSplat: Gaussian Splatting for High Dynamic Range 3D Scene Reconstruction from Raw Images
https://github.com/shunsukesaito/SCANimate
공식 코드SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks
https://github.com/skhu101/humangif
공식 코드https://github.com/skhu101/sherf
공식 코드https://github.com/smbu-mm/llie
공식 코드Towards Realistic Low-Light Image Enhancement via ISP Driven Data Modeling
https://github.com/smontode24/4dpv
공식 코드4DPV: 4D Pet from Videos by Coarse-to-Fine Non-Rigid Radiance Fields
https://github.com/sooyekim/Deep-SR-ITM
공식 코드Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications
https://github.com/srameo/le3d
공식 코드Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis
https://github.com/szymanowiczs/splatter-image
공식 코드https://github.com/tangjiapeng/LPDC-Net
공식 코드https://github.com/tfwang-9527/gs-3i
공식 코드GS-I$^{3}$: Gaussian Splatting for Surface Reconstruction from Illumination-Inconsistent Images
https://github.com/thisisvikki/itm-baseline
공식 코드Lightweight Improved Residual Network for Efficient Inverse Tone Mapping
https://github.com/tkz24589/SketchBodyNet
공식 코드SketchBodyNet: A Sketch-Driven Multi-faceted Decoder Network for 3D Human Reconstruction
https://github.com/val-iisc/3d-lmnet
공식 코드https://github.com/vchoutas/expose
공식 코드Monocular Expressive Body Regression through Body-Driven Attention
https://github.com/vchoutas/smplify-x
공식 코드Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
https://github.com/vinairesearch/single_image_hdr
공식 코드Single-Image HDR Reconstruction by Multi-Exposure Generation
https://github.com/waterljwant/SSC
공식 코드Anisotropic Convolutional Networks for 3D Semantic Scene Completion
https://github.com/wzzheng/streamvggt
공식 코드https://github.com/xiaoming-zhao/oplanes
공식 코드https://github.com/xiexh20/CHORE
공식 코드CHORE: Contact, Human and Object REconstruction from a single RGB image
https://github.com/xiexh20/behave-dataset
공식 코드BEHAVE: Dataset and Method for Tracking Human Object Interactions
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