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cs.CV2026

Reasmory: 3D Reconstruction as Explicit Memory for VLMs Spatial Reasoning

Jixuan He, Xueting Li, Chieh Hubert Lin +1

Vision-Language Models (VLMs) exhibit emerging spatial reasoning capabilities, yet they remain unreliable on tasks requiring precise spatial understanding, such as viewpoint reason…

cs.CV2026

Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery

Jie-Ying Lee, Yi-Ruei Liu, Shr-Ruei Tsai +6

Synthesizing large-scale, explorable, and geometrically accurate 3D urban scenes is a challenging yet valuable task for immersive and embodied applications. The challenge lies in t…

cs.CV2025

Restage4D: Reanimating Deformable 3D Reconstruction from a Single Video

Jixuan He, Chieh Hubert Lin, Lu Qi +1

Creating deformable 3D content has gained increasing attention with the rise of text-to-image and image-to-video generative models. While these models provide rich semantic priors…

cs.CV2025

InstaInpaint: Instant 3D-Scene Inpainting with Masked Large Reconstruction Model

Junqi You, Chieh Hubert Lin, Weijie Lyu +2

Recent advances in 3D scene reconstruction enable real-time viewing in virtual and augmented reality. To support interactive operations for better immersiveness, such as moving or…

cs.CV2025

Towards Affordance-Aware Articulation Synthesis for Rigged Objects

Yu-Chu Yu, Chieh Hubert Lin, Hsin-Ying Lee +3

Rigged objects are commonly used in artist pipelines, as they can flexibly adapt to different scenes and postures. However, articulating the rigs into realistic affordance-aware po…

cs.CV2024

Taming Latent Diffusion Model for Neural Radiance Field Inpainting

Chieh Hubert Lin, Changil Kim, Jia-Bin Huang +5

Neural Radiance Field (NeRF) is a representation for 3D reconstruction from multi-view images. Despite some recent work showing preliminary success in editing a reconstructed NeRF…