Kim Hojin

SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training 논문 리뷰

HART : EFFICIENT VISUAL GENERATION WITH HYBRID AUTOREGRESSIVE TRANSFORMER

HART : EFFICIENT VISUAL GENERATION WITH HYBRID AUTOREGRESSIVE TRANSFORMER 논문 리뷰

Learning to Act without Actions

DIFFUSION MODELS ARE REAL-TIME GAME ENGINES

DIFFUSION MODELS ARE REAL-TIME GAME ENGINES

ONE STEP DIFFUSION VIA SHORTCUT MODELS

ONE STEP DIFFUSION VIA SHORTCUT MODELS 논문 리뷰

이번주에 읽고 생각한 것들(25.05.04)

Common Diffusion Noise Schedules and Sample Steps are Flawed

Common Diffusion Noise Schedules and Sample Steps are Flawed 논문 리뷰

SANA: EFFICIENT HIGH-RESOLUTION IMAGE SYNTHESIS WITH LINEAR DIFFUSION TRANSFORMERS 논문 리뷰

SANA by NVIDIA paper review 논문 리뷰

High-Fidelity Audio Compression with Improved RVQGAN(DAC)

DAC를 읽었다.

High-Resolution Image Synthesis with Latent Diffusion Models

High-Resolution Image Synthesis with Latent Diffusion Models 논문 읽기

Stable audio

stable audio 논문 paper 리뷰

AnimateDiff : ANIMATE YOUR PERSONALIZED TEXT-TO-IMAGE DIFFUSION MODELS WITHOUT SPECIFIC TUNING

animateDiff 논문 paper

GAN

GAN 읽기

VAE 논문 개인적인 리뷰

InstantDrag: Improving Interactivity in Drag-based Image Editing

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

SimCSE: Simple Contrastive Learning of Sentence Embeddings

SimCSE 논문 리뷰

Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation

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

Autoregressive Image Generation without Vector Quantization

Autoregressive Image Generation without Vector Quantization 논문 리뷰

Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle

cycle3D 논문 리뷰

LRM: Large Reconstruction Model for Single Image to 3D

LRM 3d paper review

Efficient Geometry-aware 3D Generative Adversarial Networks

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

3D Gaussian Splatting for Real-Time Radiance Field Rendering

3DGS 논문 리뷰

LANGUAGE MODEL BEATS DIFFUSION — TOKENIZER IS KEY TO VISUAL GENERATION

MAGVIT2 논문 리뷰

VideoPoet: A Large Language Model for Zero-Shot Video Generation

videopoet 논문 리뷰

Generative Modeling by Estimating Gradients of the Data Distribution

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

VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time

VASA-1 논문 리뷰

Rich Human Feedback for Text-to-Image Generation

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

The Platonic Representation Hypothesis

The Platonic Representation Hypothesis 논문 리뷰

ViVid-1-to-3 paper reveiw

ViVid-1-to-3 논문 리뷰

Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction [review]

VAR paper

[논문 리뷰] Efficient Diffusion Training via Min-SNR Weighting Strategy

Min-SNR-감마 : 논문 리뷰

Retrieval Augmented Generation at Planet Scale 아티클

논문은 아니고, RAG 관련 글에 대한 번역

LLaVA 논문 읽으면서 생각들

[paper] LLaVA : Visual Instruction Tuning

일주일간의 생각들

[논문] Multi-persona LLM

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

하루는 72시간이다

사고방식

Speed-up LLM inference : Inference 최적화 방법

LLM을 Inference할 때 최적화하는 방법에 관하여

Suffering

About suffering

Patterns for Building LLM-based Systems

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

[논문리뷰] What is LoRA? : Low-Rank Adaptation of Large Language Models

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