6 papers
ReSS: Residual-Restoring Sparse Attention for 3D Vision Transformers
Yongsung Kim, Jaehoon Lee, Minjun Park +3
3D vision transformers such as VGGT predict camera poses and scene geometry from multi-view images in a single forward pass, but their global attention over all concatenated view t…
FoMo: Forking Moment in Generative Trajectory as a Perceptual Distance
Jaihyun Lew, Mingi Jung, Minjun Park +2
Reference-based image quality assessment (IQA) metrics aim to reflect how humans perceive the perceptual distance between a pair of images. To learn how the human visual system (HV…
Improving Geometry in Sparse-View 3DGS via Reprojection-based DoF Separation
Yongsung Kim, Minjun Park, Jooyoung Choi +1
Recent learning-based Multi-View Stereo models have demonstrated state-of-the-art performance in sparse-view 3D reconstruction. However, directly applying 3D Gaussian Splatting (3D…
Rethinking Training for De-biasing Text-to-Image Generation: Unlocking the Potential of Stable Diffusion
Eunji Kim, Siwon Kim, Minjun Park +2
Recent advancements in text-to-image models, such as Stable Diffusion, show significant demographic biases. Existing de-biasing techniques rely heavily on additional training, whic…
STAG: Structural Test-time Alignment of Gradients for Online Adaptation
Juhyeon Shin, Yujin Oh, Jonghyun Lee +5
Test-Time Adaptation (TTA) adapts pre-trained models using only unlabeled test streams, requiring real-time inference and update without access to source data. We propose Structura…
ControlDreamer: Blending Geometry and Style in Text-to-3D
Yeongtak Oh, Jooyoung Choi, Yongsung Kim +3
Recent advancements in text-to-3D generation have significantly contributed to the automation and democratization of 3D content creation. Building upon these developments, we aim t…