https://arxiv.org/pdf/2003.00482v1
实时视频对象分割
https://arxiv.org/pdf/2102.04604v2
实时视频对象分割
https://paperswithcode.com/paper/deepsportlab-a-unified-framework-for-ball
DeepSportsLab:球检测、运动员实例分割、姿态估计
https://arxiv.org/pdf/2108.06515
老照片上色，依据现代历史电影
https://arxiv.org/pdf/2407.16125v1
根据被噪声干扰的图片生成新图像
https://arxiv.org/pdf/2407.20928v1
UniProcessor: 基于文字的统一低级图像处理器
https://github.com/zhangmozhe/Deep-Exemplar-based-Video-Colorization
上色
https://arxiv.org/pdf/2407.03010v1
基于上下文的视频实例分割
https://arxiv.org/pdf/2209.13808v3
流视频时域动作分割（实时）
https://arxiv.org/pdf/2407.13372v1
视频退化修复
https://arxiv.org/pdf/2407.12889v1
图像修复(image inpainting)
https://arxiv.org/pdf/2407.09094v1
Beyond Image Prior: Embedding Noise Prior into Conditional Denoising Transformer
https://github.com/linghuyuhangyuan/M2S
也是一个video inpainting的库
https://arxiv.org/pdf/2303.07814v2
MS-TCRNNeet:Multi-Stage Temporal Convolutional Recurrent Networks for Action Segmentation Using Sensor-Augmented Kinematics
Sensor-传感器，Kinematics-运动学
运动分割
https://arxiv.org/pdf/2406.13576v1
Trusted Video Inpainting Localization via Deep Attentive Noise Learning
https://arxiv.org/pdf/2406.17628v1
Video Inpainting Localization with Contrastive Learning
https://github.com/hitachinsk/fgt
Video Inpating的库
https://arxiv.org/pdf/2301.10048v2
Exploiting Optical Flow Guidance for Transformer-Based Video Inpainting
https://arxiv.org/pdf/2407.19453v1
FIND: Fine-tuning Initial Noise Distribution with Policy Optimization for Diffusion Models
https://arxiv.org/pdf/2407.19789
Interpreting Low-level Vision Models with Causal Effect Maps
https://arxiv.org/pdf/2408.03733v1
Bayes-optimal learning of an extensive-width neural network from quadratically many samples
https://arxiv.org/pdf/2408.06072v1
CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
https://github.com/nttcom/WASB-SBDT/tree/main