Jan 27
Two papers have been accepted to ICLR 2026! Our brilliant ex-Interns' achievements! ๐
#1. ๐ฟMoAI: Aligned Novel View Image and Geometry Synthesis via Cross-modal Attention Instillation
Min-Seop Kwak, Junho Kim, Sangdoo Yun @oodgnas, Dongyoon Han @karusun1 , Taekyoung Kim, Seungryong Kim^ @KimSeungry62571, Jin-Hwa Kim^
arxiv.org/abs/2506.11924
cvlab-kaist.github.io/MoAI
Joint novel-view image and geometry generation from a single reference image via cross-modal attention "instillation". Here, geometry prediction uses attention maps instilled from an image denoising U-Net.
#2. ๐ปMVCustom: Multi-View Customized Diffusion via Geometric Latent Rendering and Completion
Minjung Shin,ย Hyunin Cho,ย Sooyeon Go,ย Jin-Hwa Kim,ย Youngjung Uh @YoungjungUh
arxiv.org/abs/2510.13702
minjung-s.github.io/mvcustom
Multi-view customization aims to jointly achieve multi-view camera pose control and customization. Lack of training data for customization made it difficult to generalize across diverse prompts. Our "depth-aware feature rendering"ย explicitly enforces geometric consistency, whileย "consistent-aware latent completion"ย ensures accurate perspective alignment of both customized subject and surrounding backgrounds.
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11 Apr 2023
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