[논문리뷰] LumosX: Relate Any Identities with Their Attributes for Personalized Video GenerationarXiv에 게시된 'LumosX: Relate Any Identities with Their Attributes for Personalized Video Generation' 논문에 대한 자세한 리뷰입니다.#Review#Personalized Video Generation#Multi-Subject#Face-Attribute Alignment#Diffusion Models#Attention Mechanisms#Relational Embedding#Text-to-Video2026년 3월 22일댓글 수 로딩 중
[논문리뷰] HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product ImagesarXiv에 게시된 'HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images' 논문에 대한 자세한 리뷰입니다.#Review#Reference-Based Inpainting#High-Fidelity Image Generation#Human-Product Images#Diffusion Models#Detail Preservation#Attention Mechanisms#Loss Functions#Dataset Construction2026년 3월 5일댓글 수 로딩 중
[논문리뷰] Reinforced Attention LearningarXiv에 게시된 'Reinforced Attention Learning' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#Multimodal LLMs#Attention Mechanisms#Policy Gradient#Knowledge Distillation#Visual Grounding#Post-training2026년 2월 5일댓글 수 로딩 중
[논문리뷰] Can LLMs Predict Their Own Failures? Self-Awareness via Internal CircuitsarXiv에 게시된 'Can LLMs Predict Their Own Failures? Self-Awareness via Internal Circuits' 논문에 대한 자세한 리뷰입니다.#Review#LLM Self-Awareness#Failure Prediction#Internal States#Attention Mechanisms#Neural Network Probes#Computational Efficiency#Zero-Shot Transfer2026년 1월 5일댓글 수 로딩 중
[논문리뷰] MorphAny3D: Unleashing the Power of Structured Latent in 3D MorphingJian Yang이 arXiv에 게시한 'MorphAny3D: Unleashing the Power of Structured Latent in 3D Morphing' 논문에 대한 자세한 리뷰입니다.#Review#3D Morphing#Structured Latent (SLAT)#Generative Models#Attention Mechanisms#Training-Free Framework#Cross-Category Transitions#Temporal Coherence2026년 1월 4일댓글 수 로딩 중
[논문리뷰] Latent Implicit Visual ReasoningarXiv에 게시된 'Latent Implicit Visual Reasoning' 논문에 대한 자세한 리뷰입니다.#Review#Large Multimodal Models (LMMs)#Visual Reasoning#Latent Tokens#Visual Bottlenecking#Implicit Learning#Task-agnostic#Attention Mechanisms2025년 12월 25일댓글 수 로딩 중
[논문리뷰] HiStream: Efficient High-Resolution Video Generation via Redundancy-Eliminated StreamingarXiv에 게시된 'HiStream: Efficient High-Resolution Video Generation via Redundancy-Eliminated Streaming' 논문에 대한 자세한 리뷰입니다.#Review#High-Resolution Video Generation#Diffusion Models#Autoregressive#Efficiency#Caching#Attention Mechanisms#Video Streaming#Temporal Consistency2025년 12월 24일댓글 수 로딩 중
[논문리뷰] Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy OptimizationarXiv에 게시된 'Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization' 논문에 대한 자세한 리뷰입니다.#Review#LLM Reasoning#Attention Mechanisms#Reinforcement Learning#Credit Assignment#Policy Optimization#Interpretability#Preplan-and-Anchor Rhythm#Generative Models2025년 10월 16일댓글 수 로딩 중
[논문리뷰] Why Can't Transformers Learn Multiplication? Reverse-Engineering Reveals Long-Range Dependency PitfallsStuart Shieber이 arXiv에 게시한 'Why Can't Transformers Learn Multiplication? Reverse-Engineering Reveals Long-Range Dependency Pitfalls' 논문에 대한 자세한 리뷰입니다.#Review#Transformers#Multiplication#Long-Range Dependencies#Implicit Chain-of-Thought#Attention Mechanisms#Inductive Bias#Reverse Engineering2025년 10월 2일댓글 수 로딩 중
[논문리뷰] EntroPE: Entropy-Guided Dynamic Patch Encoder for Time Series ForecastingarXiv에 게시된 'EntroPE: Entropy-Guided Dynamic Patch Encoder for Time Series Forecasting' 논문에 대한 자세한 리뷰입니다.#Review#Time Series Forecasting#Transformer#Dynamic Patching#Entropy#Predictive Uncertainty#Adaptive Encoding#Attention Mechanisms#Causal Transformer2025년 10월 1일댓글 수 로딩 중
[논문리뷰] SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear AttentionarXiv에 게시된 'SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention' 논문에 대한 자세한 리뷰입니다.#Review#Diffusion Transformers#Sparse Attention#Linear Attention#Model Acceleration#Video Generation#Attention Mechanisms#Fine-tuning2025년 9월 30일댓글 수 로딩 중
[논문리뷰] RefAM: Attention Magnets for Zero-Shot Referral SegmentationFederico Tombari이 arXiv에 게시한 'RefAM: Attention Magnets for Zero-Shot Referral Segmentation' 논문에 대한 자세한 리뷰입니다.#Review#Zero-Shot Segmentation#Referring Segmentation#Diffusion Transformers (DiTs)#Attention Mechanisms#Attention Sinks#Stop Words#Vision-Language Models#Training-Free Methods2025년 9월 29일댓글 수 로딩 중
[논문리뷰] BTL-UI: Blink-Think-Link Reasoning Model for GUI AgentJiahui Yang이 arXiv에 게시한 'BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent' 논문에 대한 자세한 리뷰입니다.#Review#GUI Agent#Human-GUI Interaction#Cognitive Modeling#Reinforcement Learning#Multimodal Large Language Models#Attention Mechanisms#Action Planning2025년 9월 22일댓글 수 로딩 중
[논문리뷰] Focusing by Contrastive Attention: Enhancing VLMs' Visual ReasoningBaolong Bi이 arXiv에 게시한 'Focusing by Contrastive Attention: Enhancing VLMs' Visual Reasoning' 논문에 대한 자세한 리뷰입니다.#Review#Vision-Language Models (VLMs)#Visual Reasoning#Attention Mechanisms#Contrastive Learning#Noise Suppression#Visual Complexity#Training-Free2025년 9월 9일댓글 수 로딩 중
[논문리뷰] LAMIC: Layout-Aware Multi-Image Composition via Scalability of Multimodal Diffusion TransformerShunyu Yao이 arXiv에 게시한 'LAMIC: Layout-Aware Multi-Image Composition via Scalability of Multimodal Diffusion Transformer' 논문에 대한 자세한 리뷰입니다.#Review#Multi-Image Composition#Layout Control#Diffusion Models#Transformer#Attention Mechanisms#Training-Free#Zero-Shot Generalization2025년 8월 6일댓글 수 로딩 중
[논문리뷰] On the Expressiveness of Softmax Attention: A Recurrent Neural Network PerspectiveEric C. Larson이 arXiv에 게시한 'On the Expressiveness of Softmax Attention: A Recurrent Neural Network Perspective' 논문에 대한 자세한 리뷰입니다.#Review#Softmax Attention#Linear Attention#Recurrent Neural Networks (RNNs)#Taylor Series Expansion#Attention Mechanisms#Expressiveness#Transformer Architectures2025년 8월 2일댓글 수 로딩 중