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3D Object Super-Resolution

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3D object super-resolution is the task of up-sampling 3D objects.

<span style="color:grey; opacity: 0.6">( Image credit: Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ssarfraz/SPL

공식 코드

Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss

https://github.com/stability-ai/generative-models

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Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models

https://github.com/stella-von/LKDN

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Large Kernel Distillation Network for Efficient Single Image Super-Resolution

https://github.com/stella-von/MAT

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MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution

https://github.com/striveagain/megasr

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MegaSR: Mining Customized Semantics and Expressive Guidance for Image Super-Resolution

https://github.com/subeeshvasu/2018_subeesh_epsr_eccvw

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Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network

https://github.com/subin-kim-cv/NVP

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Scalable Neural Video Representations with Learnable Positional Features

https://github.com/sun1992/hpun

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Hybrid Pixel-Unshuffled Network for Lightweight Image Super-Resolution

https://github.com/sunke123/FW-Net

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Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse Coding

https://github.com/sunny2109/mobilesr-ntire2022

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ShuffleMixer: An Efficient ConvNet for Image Super-Resolution

https://github.com/sunny2109/safmn

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Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution

https://github.com/sunshangquan/EnsIR

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EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models

https://github.com/sunwj/CAR

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Learned Image Downscaling for Upscaling using Content Adaptive Resampler

https://github.com/superkenvery/autolut

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AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning

https://github.com/supratikbanerjee/SubPixel-BackProjection_SuperResolution

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Sub-Pixel Back-Projection Network For Lightweight Single Image Super-Resolution

https://github.com/swamiviv/CLASP

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Semantic uncertainty intervals for disentangled latent spaces

https://github.com/swizad/split-diffusion

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Accelerating Guided Diffusion Sampling with Splitting Numerical Methods

https://github.com/swordcheng/FCSR-GAN

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FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task Learning

https://github.com/swz30/MIRNet

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Learning Enriched Features for Real Image Restoration and Enhancement

https://github.com/swz30/MPRNet

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MPRNet: Multi-Path Residual Network for Lightweight Image Super Resolution

https://github.com/swz30/mirnetv2

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Learning Enriched Features for Fast Image Restoration and Enhancement

https://github.com/sxpro/rfsr

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RFSR: Improving ISR Diffusion Models via Reward Feedback Learning

https://github.com/synsense/haghighatshoarmuir2024

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Low-power SNN-based audio source localisation using a Hilbert Transform spike encoding scheme

https://github.com/syxieee/supergs

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SuperGS: Super-Resolution 3D Gaussian Splatting Enhanced by Variational Residual Features and Uncertainty-Augmented Learning

https://github.com/szym29/suica

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SUICA: Learning Super-high Dimensional Sparse Implicit Neural Representations for Spatial Transcriptomics

https://github.com/t2mhanh/LapSRN_TextImages_git

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Deep Laplacian Pyramid Network for Text Images Super-Resolution

https://github.com/tamarott/SinGAN

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SinGAN: Learning a Generative Model from a Single Natural Image

https://github.com/tami-uib/jssunet

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Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution

https://github.com/tanedam/sdm-car

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SDM-Car: A Dataset for Small and Dim Moving Vehicles Detection in Satellite Videos

https://github.com/tang1705/seeclear-neurips24

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SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-Resolution

https://github.com/tangzhenjie/SRDA-Net

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Super-Resolution Domain Adaptation Networks for Semantic Segmentation via Pixel and Output Level Aligning

https://github.com/taowangzj/awesome-face-restoration

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A Survey of Deep Face Restoration: Denoise, Super-Resolution, Deblur, Artifact Removal

https://github.com/tchuanm/iterinv

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IterInv: Iterative Inversion for Pixel-Level T2I Models

https://github.com/tencent-ailab/frequency_aug_vae_moesr

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Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach

https://github.com/tencentarc/animesr

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AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos

https://github.com/tencentarc/desra

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DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models

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