Copertina

MotionCFG: Boosting Motion Dynamics via Stochastic Concept Perturbation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kim, Byungjun, Um, Soobin, Ye, Jong Chul
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Diverse Text-to-Image Generation via Contrastive Noise Optimization
di: Kim, Byungjun, et al.
Pubblicazione: (2025)

Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation
di: Um, Soobin, et al.
Pubblicazione: (2025)

Minority-Focused Text-to-Image Generation via Prompt Optimization
di: Um, Soobin, et al.
Pubblicazione: (2024)

Self-Guided Generation of Minority Samples Using Diffusion Models
di: Um, Soobin, et al.
Pubblicazione: (2024)

Contrastive CFG: Improving CFG in Diffusion Models by Contrasting Positive and Negative Concepts
di: Chang, Jinho, et al.
Pubblicazione: (2024)

Don't Play Favorites: Minority Guidance for Diffusion Models
di: Um, Soobin, et al.
Pubblicazione: (2023)

CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models
di: Chung, Hyungjin, et al.
Pubblicazione: (2024)

Beyond Generative Priors: Minority Sampling with JEPA-Guided Diffusion
di: Park, Sol, et al.
Pubblicazione: (2026)

Spectral Motion Alignment for Video Motion Transfer using Diffusion Models
di: Park, Geon Yeong, et al.
Pubblicazione: (2024)

Extreme Blind Image Restoration via Prompt-Conditioned Information Bottleneck
di: Kim, Hongeun, et al.
Pubblicazione: (2025)

Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment
di: Kim, Bryan Sangwoo, et al.
Pubblicazione: (2025)

Align Your Tangent: Training Better Consistency Models via Manifold-Aligned Tangents
di: Kim, Beomsu, et al.
Pubblicazione: (2025)

Unpaired Image-to-Image Translation via Neural Schrödinger Bridge
di: Kim, Beomsu, et al.
Pubblicazione: (2023)

PromptLoop: Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment
di: Lee, Suhyeon, et al.
Pubblicazione: (2025)

Latent Schrodinger Bridge: Prompting Latent Diffusion for Fast Unpaired Image-to-Image Translation
di: Kim, Jeongsol, et al.
Pubblicazione: (2024)

OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation
di: Kim, Kwanyoung, et al.
Pubblicazione: (2024)

Free$^2$Guide: Training-Free Text-to-Video Alignment using Image LVLM
di: Kim, Jaemin, et al.
Pubblicazione: (2024)

FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems
di: Kim, Jeongsol, et al.
Pubblicazione: (2025)

Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models
di: Kwon, Gihyun, et al.
Pubblicazione: (2024)

Generalized Consistency Trajectory Models for Image Manipulation
di: Kim, Beomsu, et al.
Pubblicazione: (2024)

FILT3R: Latent State Adaptive Kalman Filter for Streaming 3D Reconstruction
di: Jin, Seonghyun, et al.
Pubblicazione: (2026)

Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models
di: Jeong, Hyeonho, et al.
Pubblicazione: (2023)

Solving Video Inverse Problems Using Image Diffusion Models
di: Kwon, Taesung, et al.
Pubblicazione: (2024)

FlowLPS: Langevin-Proximal Sampling for Flow-based Inverse Problem Solvers
di: Park, Jonghyun, et al.
Pubblicazione: (2025)

VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models
di: Kwon, Taesung, et al.
Pubblicazione: (2024)

PCPO: Proportionate Credit Policy Optimization for Aligning Image Generation Models
di: Lee, Jeongjae, et al.
Pubblicazione: (2025)

Gradient-Free Noise Optimization for Reward Alignment in Generative Models
di: Kim, Jeongsol, et al.
Pubblicazione: (2026)

Tiled Prompts: Overcoming Prompt Misguidance in Image and Video Super-Resolution
di: Kim, Bryan Sangwoo, et al.
Pubblicazione: (2026)

DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation
di: Kim, Jeongsol, et al.
Pubblicazione: (2024)

EP-CFG: Energy-Preserving Classifier-Free Guidance
di: Zhang, Kai, et al.
Pubblicazione: (2024)

Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models
di: Lee, Jeongjae, et al.
Pubblicazione: (2026)

CRePE: Curved Ray Expectation Positional Encoding for Unified-Camera-Controlled Video Generation
di: Jin, Seonghyun, et al.
Pubblicazione: (2026)

FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing
di: Kim, Jeongsol, et al.
Pubblicazione: (2025)

UNICORN: Ultrasound Nakagami Imaging via Score Matching and Adaptation
di: Kim, Kwanyoung, et al.
Pubblicazione: (2024)

MotionMatcher: Motion Customization of Text-to-Video Diffusion Models via Motion Feature Matching
di: Wu, Yen-Siang, et al.
Pubblicazione: (2025)

Geometric 4D Stitching for Grounded 4D Generation
di: Park, Sunwoo, et al.
Pubblicazione: (2026)

Hyperspherical Autoencoder for High-Fidelity Image Reconstruction and Generation
di: Chang, Hun, et al.
Pubblicazione: (2026)

Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
di: Chung, Hyungjin, et al.
Pubblicazione: (2023)

MindFormer: Semantic Alignment of Multi-Subject fMRI for Brain Decoding
di: Han, Inhwa, et al.
Pubblicazione: (2024)

ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler
di: Yang, Serin, et al.
Pubblicazione: (2024)