Helping myself keep track of Computer Vision and Deep Learning papers that I‘m reading.
- Low-level vision task
- Text related
- Controlling Vision-Language Models for Multi-Task Image Restoration(DA-CLIP)
- LM4LV: A Frozen Large Language Model for Low-level Vision Tasks
- Language-driven All-in-one Adverse Weather Removal(LDR)
- HazeCLIP: Towards Language Guided Real-World Image Dehazing
- Boosting Image Restoration via Priors from Pre-trained Models(PTG-RM)
- Others
- Text related
- Vision and Language model
- SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model
- Uni-paint: A Unified Framework for Multimodal Image Inpainting with Pretrained Diffusion Model
- LoRA: Low-Rank Adaptation of Large Language Models
- Generating Images with Multimodal Language Models(GILL)
- SmartEdit: Exploring Complex Instruction-based Image Editing with Multimodal Large Language Models
- Visual Instruction Tuning(LLaVA)
- GLaMM: Pixel Grounding Large Multimodal Model
- LION : Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge
- Transformer Architectures
- Face Anti-spoofing
- Few-shot Learning
- Novel View Synthesis
- NeRF
- NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
- D-NeRF: Neural Radiance Fields for Dynamic Scenes (D-NeRF)
- Dynamic View Synthesis from Dynamic Monocular Video (DynamicNeRF)
- Robust Dynamic Radiance Fields (RoDynRF)
- Instant Neural Graphics Primitives with a Multiresolution Hash Encoding(Instant-NGP)
- CodeNeRF: Disentangled Neural Radiance Fields for Object Categories(CodeNeRF)
- DiffRF: Rendering-Guided 3D Radiance Field Diffusion(DiffRF)
- Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction(SSDNeRF)
- 3DGS
- NeRF
- Diffusion model
- GAN
- Others