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Lists (16)
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✨ Big Data & BIA
✨ BlockChain and Web3
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✨ CL
✨ Competitive Programming
✨ Diffusion
✨ Distributed Programming
20222 DSAI Semester✨ Foundation Models
Large Language Models, CLIP, BLIP, ...✨ Personal Homepage
✨ SPML + Semi
✨ Super-Resolution
For Computer Vision Project✨ Time Series
First Project of my wonder NTU PhD✨ To Study
For studying in the future✨ Topic Modelling
✨ Useful Tools
✨ World Model
My second project of my wonder NTU PhDStars
Reliable, minimal and scalable library for evaluating and conducting world model research
Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.
Official code base for LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
Simplest and Cleanest DreamerV3 implementation out there
Distributed Reinforcement Learning accelerated by Lightning Fabric
Code for "TD-MPC2: Scalable, Robust World Models for Continuous Control"
Collect some World Models for Autonomous Driving (and Robotic, etc.) papers.
A comprehensive list of papers for the definition of World Models and using World Models for General Video Generation, Embodied AI, and Autonomous Driving, including papers, codes, and related webs…
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)
[ICLR 2026] DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous Driving
[AAAI 2025] DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation
[ECCV 2024] DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving
[ACM CSUR 2025] Understanding World or Predicting Future? A Comprehensive Survey of World Models
Open-Sora: Democratizing Efficient Video Production for All
Resources and paper list for "Thinking with Images for LVLMs". This repository accompanies our survey on how LVLMs can leverage visual information for complex reasoning, planning, and generation.
The official GitHub repo for the survey paper "A Survey on Diffusion Language Models".
A latent text-to-image diffusion model
[NeurIPS 2025 D&B] BackdoorDM: A Comprehensive Benchmark for Backdoor Learning in Diffusion Model
[CVPR2025] Exploring CLIP’s Dense Knowledge for Weakly Supervised Semantic Segmentation
[CVPR 2023] CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation
⏰ Agenticly track worldwide conference deadlines (Website, Python Cli, Wechat Applet)
Official Implementation of Rectified Flow (ICLR2023 Spotlight)
⚡ InstaFlow! One-Step Stable Diffusion with Rectified Flow (ICLR 2024)
Multimodal Referring Segmentation
Recent weakly supervised semantic segmentation paper
FusionBench: A Comprehensive Benchmark/Toolkit of Deep Model Fusion