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Official code of the paper "PTDiffusion: Free Lunch for Generating Optical Illusion Hidden Pictures with Phase-Transferred Diffusion Model"
完全免费, 自动获取新账号,一键重置新额度, 解决机器码问题, 自动满额度
Official Code for “Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling”
[Support 0.49.x](Reset Cursor AI MachineID & Bypass Higher Token Limit) Cursor Ai ,自动重置机器ID , 免费升级使用Pro功能: You've reached your trial request limit. / Too many free trial accounts used on this machi…
A desktop client for UnblockNeteaseMusic, made with Qt.
Textbook on reinforcement learning from human feedback
An unofficial implementation for "CoSeR: Bridging Image and Language for Cognitive Super-Resolution (CVPR 2024)"
CycleResearcher: Improving Automated Research via Automated Review
UniEdit: A Unified Tuning-Free Framework for Video Motion and Appearance Editing
Code for the paper "Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models"
Code for ICLR 2024 paper "Motion Guidance: Diffusion-Based Image Editing with Differentiable Motion Estimators"
PyTorch implementation of "Perceive, Understand and Restore: Real-World Image Super-Resolution with Autoregressive Multimodal Generative Models"
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
[ECCV'24] Official PyTorch Implementation of "Learning-based Axial Video Motion Magnification"
[NeurlPS2024] One-Step Effective Diffusion Network for Real-World Image Super-Resolution
SD-Trainer. LoRA & Dreambooth training scripts & GUI use kohya-ss's trainer, for diffusion model.
[CVPR 2025] Official code repository for "Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approach"
Arbitrary-steps Image Super-resolution via Diffusion Inversion (CVPR 2025)
Solution of the NTIRE 2024 Challenge on Efficient Super-Resolution
Writing AI Conference Papers: A Handbook for Beginners
[IEEE TIP] Transforming Image Super-Resolution: A ConvFormer-based Efficient Approach
A repository of AAAI 2024 paper 'SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model'
Source code for CVPR 2024 paper UnSAMFlow Unsupervised Optical Flow Guided by Segment Anything Model.
[ECCV2024 - Oral, Best Paper Award Candidate] SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow
[CVPR 2023] Rethinking Optical Flow from Geometric Matching Consistent Perspective
FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation