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Hyeonho Jeong PRO

hyeonho-jeong-video

https://hyeonho99.github.io/

HyeonHo99

AI & ML interests

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Recent Activity

upvoted a paper 5 days ago

Difix3D+: Improving 3D Reconstructions with Single-Step Diffusion Models

upvoted a paper 9 days ago

Multimodal Representation Alignment for Image Generation: Text-Image Interleaved Control Is Easier Than You Think

upvoted a paper 11 days ago

VideoGrain: Modulating Space-Time Attention for Multi-grained Video Editing

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hyeonho-jeong-video's activity

upvoted a paper 5 days ago

Difix3D+: Improving 3D Reconstructions with Single-Step Diffusion Models

Paper • 2503.01774 • Published 6 days ago • 37

upvoted a paper 9 days ago

Multimodal Representation Alignment for Image Generation: Text-Image Interleaved Control Is Easier Than You Think

Paper • 2502.20172 • Published 10 days ago • 26

upvoted a paper 11 days ago

VideoGrain: Modulating Space-Time Attention for Multi-grained Video Editing

Paper • 2502.17258 • Published 13 days ago • 72

upvoted a paper 16 days ago

Dynamic Concepts Personalization from Single Videos

Paper • 2502.14844 • Published 17 days ago • 16

upvoted a paper 18 days ago

Phantom: Subject-consistent video generation via cross-modal alignment

Paper • 2502.11079 • Published 21 days ago • 52

upvoted a paper 23 days ago

Skrr: Skip and Re-use Text Encoder Layers for Memory Efficient Text-to-Image Generation

Paper • 2502.08690 • Published 25 days ago • 41

upvoted 2 papers 24 days ago

Light-A-Video: Training-free Video Relighting via Progressive Light Fusion

Paper • 2502.08590 • Published 25 days ago • 40

CineMaster: A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation

Paper • 2502.08639 • Published 25 days ago • 37

upvoted 3 papers 26 days ago

History-Guided Video Diffusion

Paper • 2502.06764 • Published 27 days ago • 12

CustomVideoX: 3D Reference Attention Driven Dynamic Adaptation for Zero-Shot Customized Video Diffusion Transformers

Paper • 2502.06527 • Published 27 days ago • 10

Lumina-Video: Efficient and Flexible Video Generation with Multi-scale Next-DiT

Paper • 2502.06782 • Published 27 days ago • 13

upvoted a paper 27 days ago

Goku: Flow Based Video Generative Foundation Models

Paper • 2502.04896 • Published about 1 month ago • 95

upvoted 2 papers 29 days ago

ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features

Paper • 2502.04320 • Published about 1 month ago • 35

DynVFX: Augmenting Real Videos with Dynamic Content

Paper • 2502.03621 • Published Feb 5 • 29

upvoted 3 papers about 1 month ago

VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models

Paper • 2502.02492 • Published Feb 4 • 61

EchoVideo: Identity-Preserving Human Video Generation by Multimodal Feature Fusion

Paper • 2501.13452 • Published Jan 23 • 7

DiffuEraser: A Diffusion Model for Video Inpainting

Paper • 2501.10018 • Published Jan 17 • 14

upvoted 3 papers about 2 months ago

Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise

Paper • 2501.08331 • Published Jan 14 • 20

Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps

Paper • 2501.09732 • Published Jan 16 • 70

RepVideo: Rethinking Cross-Layer Representation for Video Generation

Paper • 2501.08994 • Published Jan 15 • 15