1 citations · 1 across the 9 of their papers we have counts for
11 papers
RelationVGGT: Visual Geometry Transformers for 3D Spatial Relation Segmentation
Minsu Kim, Jaesung Choe, Jiwoo Lee +2
Recent advances in 3D reconstruction have progressed from per-scene optimization to feed-forward inference, and semantic scene understanding has followed suit -- yet existing metho…
Beyond the Current Scene: Event-Referential Grasping with Active View Selection
Hyunjoon Lee, Haebeom Jung, Eunsung Cha +4
A robot that observes people interacting with objects should be able to carry out later requests that refer back to those interactions. Such requests may specify a grasp target by…
DVSM: Decoder-only View Synthesis Model Done Right
Cheng Sun, Jaesung Choe, Min-Hung Chen +2
Recent Large View Synthesis Models (LVSMs) advocate an encoder-decoder architecture that separates reconstruction and rendering into distinct networks. We re-examine this design. T…
MV-SAM: Multi-view Promptable Segmentation using Pointmap Guidance
Yoonwoo Jeong, Cheng Sun, Yu-Chiang Frank Wang +2
Promptable segmentation has emerged as a powerful paradigm in computer vision, enabling users to guide models in parsing complex scenes with prompts such as clicks, boxes, or textu…
OpenVoxel: Training-Free Grouping and Captioning Voxels for Open-Vocabulary 3D Scene Understanding
Sheng-Yu Huang, Jaesung Choe, Yu-Chiang Frank Wang +1
We propose OpenVoxel, a training-free algorithm for grouping and captioning sparse voxels for the open-vocabulary 3D scene understanding tasks. Given the sparse voxel rasterization…
SplatReasoner: Enhancing Embodied Reasoning and Grounding by Novel View Synthesis
Kim Yu-Ji, Dahye Lee, Kim Jun-Seong +6
Vision-Language Models (VLMs) have demonstrated strong reasoning capabilities over images and videos, yet their application to embodied scene understanding often constrained by the…
Quantile Rendering: Efficiently Embedding High-dimensional Feature on 3D Gaussian Splatting
Yoonwoo Jeong, Cheng Sun, Frank Wang +2
Recent advancements in computer vision have successfully extended Open-vocabulary segmentation (OVS) to the 3D domain by leveraging 3D Gaussian Splatting (3D-GS). Despite this prog…
SVRecon: Sparse Voxel Rasterization for Surface Reconstruction
Seunghun Oh, Jaesung Choe, Dongjae Lee +4
We extend the recently proposed sparse voxel rasterization paradigm to the task of high-fidelity surface reconstruction by integrating Signed Distance Function (SDF), named SVRecon…
Dr. Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Registration
Kim Jun-Seong, GeonU Kim, Kim Yu-Ji +3
We introduce Dr. Splat, a novel approach for open-vocabulary 3D scene understanding leveraging 3D Gaussian Splatting. Unlike existing language-embedded 3DGS methods, which rely on…
Mosaic3D: Foundation Dataset and Model for Open-Vocabulary 3D Segmentation
Junha Lee, Chunghyun Park, Jaesung Choe +4
We tackle open-vocabulary 3D scene understanding by introducing a novel data generation pipeline and training framework. Our method addresses three critical requirements for effect…
Sparse Voxels Rasterization: Real-time High-fidelity Radiance Field Rendering
Cheng Sun, Jaesung Choe, Charles Loop +2
We propose an efficient radiance field rendering algorithm that incorporates a rasterization process on adaptive sparse voxels without neural networks or 3D Gaussians. There are tw…