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20222026
most citedDirecT2V: Large Language Models are Frame-Level Directors for Zero-Shot Text-to-Video Generation

7 citations · 19 across the 23 of their papers we have counts for

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7 papers · 1 filter

cs.CV2025

Emergent Outlier View Rejection in Visual Geometry Grounded Transformers

Jisang Han, Sunghwan Hong, Jaewoo Jung +5

Reliable 3D reconstruction from in-the-wild image collections is often hindered by "noisy" images-irrelevant inputs with little or no view overlap with others. While traditional St…

cs.CV2025★ 1 cited

LitePT: Lighter Yet Stronger Point Transformer

Yuanwen Yue, Damien Robert, Jianyuan Wang +4

Modern neural architectures for 3D point cloud processing contain both convolutional layers and attention blocks, but the best way to assemble them remains unclear. We analyse the…

cs.CV2025

C3G: Learning Compact 3D Representations with 2K Gaussians

Honggyu An, Jaewoo Jung, Mungyeom Kim +10

Reconstructing and understanding 3D scenes from unposed sparse views in a feed-forward manner remains as a challenging task in 3D computer vision. Recent approaches use per-pixel 3…

cs.CV2025

Visual Representation Alignment for Multimodal Large Language Models

Heeji Yoon, Jaewoo Jung, Junwan Kim +10

Multimodal large language models (MLLMs) trained with visual instruction tuning have achieved strong performance across diverse tasks, yet they remain limited in vision-centric tas…

cs.CV2025

3D Scene Prompting for Scene-Consistent Camera-Controllable Video Generation

JoungBin Lee, Jaewoo Jung, Jisang Han +6

We present 3DScenePrompt, a framework that generates the next video chunk from arbitrary-length input while enabling precise camera control and preserving scene consistency. Unlike…

cs.CV2025

Seg4Diff: Unveiling Open-Vocabulary Segmentation in Text-to-Image Diffusion Transformers

Chaehyun Kim, Heeseong Shin, Eunbeen Hong +5

Text-to-image diffusion models excel at translating language prompts into photorealistic images by implicitly grounding textual concepts through their cross-modal attention mechani…

cs.CV2025

DUSt3R: Enhancing 3D Reconstruction for Dynamic Scenes

Jisang Han, Honggyu An, Jaewoo Jung +7

In this work, we address the task of 3D reconstruction in dynamic scenes, where object motions frequently degrade the quality of previous 3D pointmap regression methods, such as DU…