activity
20192026
most citedDirect Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction

37 citations · 113 across the 24 of their papers we have counts for

collaborators

25 papers

cs.CV2026

Scal3R: Learning Efficient Multi-Relative Pose Query for Scalable Online 3D Reconstruction

Chin-Yang Lin, Yang-Che Sun, Cheng Sun +5

Online 3D reconstruction models perform poorly on long videos. This happens because regressing poses relative to a fixed first-frame anchor forces extrapolation far beyond the trai…

cs.CV2025

LongSplat: Robust Unposed 3D Gaussian Splatting for Casual Long Videos

Chin-Yang Lin, Cheng Sun, Fu-En Yang +3

LongSplat addresses critical challenges in novel view synthesis (NVS) from casually captured long videos characterized by irregular camera motion, unknown camera poses, and expansi…

cs.GR2025

Real-time 3D Visualization of Radiance Fields on Light Field Displays

Jonghyun Kim, Cheng Sun, Michael Stengel +6

Radiance fields, including their recent efficient forms such as 3D Gaussian Splatting and Sparse Voxels, have revolutionized photorealistic 3D scene visualization by enabling high-…

cs.LG2025

BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL

Yu-Heng Hung, Kai-Jie Lin, Yu-Heng Lin +3

Bayesian optimization (BO) offers an efficient pipeline for optimizing black-box functions with the help of a Gaussian process prior and an acquisition function (AF). Recently, in…

cs.CV2025

Segment Anything, Even Occluded

Wei-En Tai, Yu-Lin Shih, Cheng Sun +2

Amodal instance segmentation, which aims to detect and segment both visible and invisible parts of objects in images, plays a crucial role in various applications including autonom…

cs.CV2024

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…