Papers with Code 아카이브

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/tencentarc/fastrealvsr

공식 코드

Mitigating Artifacts in Real-World Video Super-Resolution Models

https://github.com/tencentarc/mm-realsr

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MM-RealSR: Metric Learning based Interactive Modulation for Real-World Super-Resolution

https://github.com/teryzh/reconstruction-ngsim-trajectory-with-dmd-and-res_unet_plus

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Spatial-Temporal Map Vehicle Trajectory Detection Using Dynamic Mode Decomposition and Res-UNet+ Neural Networks

https://github.com/teryzh/roadside-lidar-vehicle-detection-and-tracking-background-subtraction

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Roadside Lidar Vehicle Detection and Tracking Using Range And Intensity Background Subtraction

https://github.com/theodore-pku/theorem-1-verification-python

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Trained Model in Supervised Deep Learning is a Conditional Risk Minimizer

https://github.com/therebellll/NegIoU-PosIoU-Miou

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Optimized Loss Functions for Object detection: A Case Study on Nighttime Vehicle Detection

https://github.com/thomashelfer/torchgrtl

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Super-Resolution without High-Resolution Labels for Black Hole Simulations

https://github.com/thudm/cogview2

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CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers

https://github.com/thudm/inf-dit

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Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer

https://github.com/thunil/TecoGAN

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Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation

https://github.com/thunil/tempoGAN

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tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow

https://github.com/thy960112/mdbn

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Multi-Depth Branch Network for Efficient Image Super-Resolution

https://github.com/tiangexiang/BiO-Net

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BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture

https://github.com/tianhewu/visualquality-r1

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VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to Rank

https://github.com/tianyuan168326/SelfC

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Self-Conditioned Probabilistic Learning of Video Rescaling

https://github.com/tirer-lab/cm4ir

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Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)

https://github.com/tirer-lab/ddpg

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Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance

https://github.com/tjvandal/discrete-continuous-bdl

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Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning

https://github.com/tldr-group/superres

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Fusion of complementary 2D and 3D mesostructural datasets using generative adversarial networks

https://github.com/tljxyys/RDSTN_ultrasound

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Residual Dense Swin Transformer for Continuous Depth-Independent Ultrasound Imaging

https://github.com/tobias-liaudat/wf-psf

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Rethinking data-driven point spread function modeling with a differentiable optical model

https://github.com/tomchenshi/cst

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Cross-Scope Spatial-Spectral Information Aggregation for Hyperspectral Image Super-Resolution

https://github.com/tomchenshi/hsrmamba

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HSRMamba: Contextual Spatial-Spectral State Space Model for Single Image Hyperspectral Super-Resolution

https://github.com/tomtirer/IDBP-CNN-IA

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Super-Resolution via Image-Adapted Denoising CNNs: Incorporating External and Internal Learning

https://github.com/tongkunguan/ccd

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Self-supervised Character-to-Character Distillation for Text Recognition

https://github.com/tongyuantongyu/vs-nnvisr

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NNVISR: Bring Neural Network Video Interpolation and Super Resolution into Video Processing Framework

https://github.com/tonichopp/ecamp

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ECAMP: Entity-centered Context-aware Medical Vision Language Pre-training

https://github.com/toyotainfotech/stisr-tcdm

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Scene Text Image Super-resolution based on Text-conditional Diffusion Models

https://github.com/tub-rip/event_based_image_rec_inverse_problem

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Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical Flow

https://github.com/tyshiwo/FSRNet

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FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors

https://github.com/tyshiwo/MemNet

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MemNet: A Persistent Memory Network for Image Restoration

https://github.com/ucsfncl/dmri-swin

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Generative AI for Rapid Diffusion MRI with Improved Image Quality, Reliability and Generalizability

https://github.com/uhhhci/immersive-ngp

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Immersive Neural Graphics Primitives

https://github.com/um-dsrg/Super-Resolution-Meta-Attention-Networks

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Improving Super-Resolution Performance using Meta-Attention Layers

https://github.com/um-dsrg/rumpy

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The Best of Both Worlds: a Framework for Combining Degradation Prediction with High Performance Super-Resolution Networks

https://github.com/umautobots/driving-in-the-matrix

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Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

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