Paper Review 36
- [Paper Review] Visual Representation Alignment for MLLMs
- [Paper Review] CoIBA
- [Paper Review] Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
- [Paper Review] SigLIP
- [Paper Review] Do Vision Transformers See Like Convolutional Neural Networks?
- [Paper Review] DINO
- [Paper Review] 🦩 Flamingo: a Visual Language Model for Few-Shot Learning
- [Paper Review] BERT
- [Paper Review] WaveNet
- [Paper Review with Code] ResCLIP: Residual Attention for Training-free Dense Vision-language Inference
- [Paper Review] Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces
- [Paper Review] AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling
- [Paper Review] SplatFlow
- [Paper Review] UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics
- [Paper Review] Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
- [Paper Review] Ctrl-D
- [Paper Review] Flow Matching in Latent Space
- [Paper Review] Transfusion
- [Paper Review] Analytic-Splatting
- [Paper Review] Multi-Scale 3D Gaussian Splatting
- [Paper Review] 3D Gaussian Splatting
- [Paper Review] REACT : Learning Customized Visual Models with Retrieval-Augmented Knowledge
- [Paper Review] PromptStyler
- [Paper Review] DreamBooth
- [Paper Review] TADA : Timestep-Awara Data Augmentation for Diffusion models
- [Paper Review] SAGAN - Self Attention GAN
- [Paper Review] Score-based Generative model
- [Paper Review] WassersteinGAN
- [Paper Review] Diffusion Models Beat GANs on Image Synthesis
- [Paper Review] Pix2pix
- [Paper Review] DDIM
- [Paper Review] DCGAN
- [Paper Review] DDPM
- [Paper Review] GAN
- [Paper Review] Transfomer - Attention Is All You Need
- [Paper Review] StarGAN