Kim Hojin

Common Diffusion Noise Schedules and Sample Steps are Flawed 논문 리뷰

SANA by NVIDIA paper review 논문 리뷰

DAC를 읽었다.

High-Resolution Image Synthesis with Latent Diffusion Models 논문 읽기

stable audio 논문 paper 리뷰

animateDiff 논문 paper

GAN 읽기

InstantDrag: Improving Interactivity in Drag-based Image Editing 논문 리뷰

Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation paper review, 논문 리뷰

Autoregressive Image Generation without Vector Quantization 논문 리뷰

LRM 3d paper review

Efficient Geometry-aware 3D Generative Adversarial Networks 리뷰 for tri-plane understanding

3DGS 논문 리뷰

MAGVIT2 논문 리뷰

videopoet 논문 리뷰

Generative Modeling by Estimating Gradients of the Data Distribution 양송 블로그 리뷰

VASA-1 논문 리뷰

Rich Human Feedback for Text-to-Image Generation 논문 리뷰

The Platonic Representation Hypothesis 논문 리뷰

ViVid-1-to-3 논문 리뷰

VAR paper

논문은 아니고, RAG 관련 글에 대한 번역

[paper] LLaVA : Visual Instruction Tuning

[논문] Multi-persona LLM, UNLEASHING COGNITIVE SYNERGY IN LARGE LANGUAGE MODELS: A TASK SOLVING AGENT THROUGH MULTI-PERSONA SELF-COLLABORATION

LLM을 Inference할 때 최적화하는 방법에 관하여

Patterns for Building LLM-based Systems이라는 긴 아티클을 읽고 중요하다고 생각되는 부분만 뽑아서 정리한 내용

LoRA에 관해서. 읽고 간단하게 작성 논문 : https://arxiv.org/abs/2106.09685