Study
2025
2024
2023
- MVDream: Multi-View Diffusion for 3D Generation
- DreamFace: Generation of 3D Faces under Text Guidance
- DreamFusion: Text-to-3D Using 2D Diffusion
- Text2Tex: Text-driven Texture Synthesis via Diffusion Models
- TEXTure: Text-Guided Texturing of 3D Shapes
- ControlNet: Adding Conditional Control to Text-to-Image Diffusion Models
- On Distillation of Guided Diffusion Models
- An Image Is Worth One Word: Personalizing Text-to-Image Generation Using Textual Inversion
- Prompt-to-Prompt Image Editing with Cross-Attention Control
- DreamBooth: Fine-Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
- LDM: High-Resolution Image Synthesis with Latent Diffusion Models
- DDIM: Denoising Diffusion Implicit Models
- DDPM: Denoising Diffusion Probabilistic Models
- DDPM: Diffusion Model Background
- An Overview of Generative Models
2021
- StarGAN v2 (2020)
- (7) SARSA and Q-Learning
- (6) Reinforcement Learning and Policy Evaluation
- (5) Policy Iteration and Value Iteration
- (4) Gridworld and Dynamic Programming
- (3) Value Functions and Bellman Equations
- (2) The Markov Decision Process
- (1) An Introduction to Reinforcement Learning
- Optimal Auction Through Deep Learning