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Nanjing University
- Shanghai
- https://tyshiwo.github.io/
Stars
[ICLR 2026] MotionSight's official code implementation.
TextCrafter: Accurately Rendering Multiple Texts in Complex Visual Scenes
[ICCV 2025] STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
[AAAI 2025] Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking
[CVPR 2025] InstanceCap: Improving Text-to-Video Generation via Instance-aware Structured Caption 🔍
[ICCV 2025] Region-Aware Text-to-Image Generation via Hard Binding and Soft Refinement 🔥
[ICML 2022] NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields
[ICLR 2025] OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation
A latent text-to-image diffusion model
Official PyTorch Implementation of "GAN-Supervised Dense Visual Alignment" (CVPR 2022 Oral, Best Paper Finalist)
Interesting StyleGAN-related papers. Focusing on StyleGAN inversion.
The code of paper 'Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection'
Real-World Super-Resolution via Kernel Estimation and Noise Injection
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its…
Code for Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images (CVPR 2020)
(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
RealSR super resolution implemented with ncnn library
Real-World Super-Resolution via Kernel Estimation and Noise Injection
Crack LeetCode, not only how, but also why.
PyTorch Implementation of "Lossless Image Compression through Super-Resolution"
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment