Juil Koo

According to our database1, Juil Koo authored at least 11 papers between 2022 and 2026.

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Timeline

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Bibliography

2026
Token Warping Helps MLLMs Look from Nearby Viewpoints.
CoRR, April, 2026

BoxSplitGen: A Generative Model for 3D Part Bounding Boxes in Varying Granularity.
CoRR, February, 2026

DiffusionRollout: Uncertainty-Aware Rollout Planning in Long-Horizon PDE Solving.
Trans. Mach. Learn. Res., 2026

2025
BézierFlow: Learning Bézier Stochastic Interpolant Schedulers for Few-Step Generation.
CoRR, December, 2025

Toward Ambulatory Vision: Learning Visually-Grounded Active View Selection.
CoRR, December, 2025

VideoHandles: Editing 3D Object Compositions in Videos Using Video Generative Priors.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SyncTweedies: A General Generative Framework Based on Synchronized Diffusions.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Posterior Distillation Sampling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
SALAD: Part-Level Latent Diffusion for 3D Shape Generation and Manipulation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
PartGlot: Learning Shape Part Segmentation from Language Reference Games.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022


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