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From the 1 of 7 linked papers with an AI index.

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7 papers

cs.CV2026

SplatReasoner: Enhancing Embodied Reasoning and Grounding by Novel View Synthesis

Kim Yu-Ji, Dahye Lee, Kim Jun-Seong +6

SplatReasoner integrates query‑conditioned novel view synthesis via 3D Gaussian splatting into vision‑language models, enabling better embodied reasoning and 3D grounding by genera…

cs.CV2026

Extracting Neural Materials from Multi-view Images

Kim Youwang, Jon Hasselgren, Peter Kocsis +3

Neural materials can represent complex specular reflections and scattering effects in a compact, universal basis. However, acquiring and authoring such materials remains challengin…

cs.CV2026

FiCA: Feed-forward instant Gaussian Codec Avatars from a Single Portrait Image

Kim Youwang, Zhengyu Yang, Liuhao Ge +8

We introduce FiCA, a Feed-forward, instant Gaussian Codec Avatar generation pipeline that creates lifelike avatars from a single portrait image. Generating a photorealistic and dri…

cs.CV2026

HDR-NSFF: High Dynamic Range Neural Scene Flow Fields

Shin Dong-Yeon, Kim Jun-Seong, Kwon Byung-Ki +1

Radiance of real-world scenes typically spans a much wider dynamic range than what standard cameras can capture. While conventional HDR methods merge alternating-exposure frames, t…

cs.CV2025

Robust 3D Shape Reconstruction in Zero-Shot from a Single Image in the Wild

Junhyeong Cho, Kim Youwang, Hunmin Yang +1

Recent monocular 3D shape reconstruction methods have shown promising zero-shot results on object-segmented images without any occlusions. However, their effectiveness is significa…

cs.GR2025

FPGS: Feed-Forward Semantic-aware Photorealistic Style Transfer of Large-Scale Gaussian Splatting

GeonU Kim, Kim Youwang, Lee Hyoseok +1

We present FPGS, a feed-forward photorealistic style transfer method of large-scale radiance fields represented by Gaussian Splatting. FPGS, stylizes large-scale 3D scenes with arb…