Yihalem Yimolal Tiruneh

Yihalem Yimolal Tiruneh

M.S. Researcher · Vision & Learning Lab, UNIST. 3D human avatar reconstruction, 3D Gaussian splatting, and vision–language models.

Unified 3D Gaussian Human Avatars Under Arbitrary Body Visibility

Published in European Conference on Computer Vision (ECCV) — under review, 2026

Authors. Y. Y. Tiruneh, S. Baek.

Status. Submitted to ECCV 2026 (under review).

Summary.

  • Proposed a visibility-aware optimization framework that restricts Gaussian splatting supervision to observed body regions, eliminating hallucinated geometry and texture drift under partial-view inputs.
  • Unified pipeline supporting full-body, upper-body, and head-only avatars with occlusion-robust SMPL-X tracking, FLAME-based facial initialization, part-specific residual MLPs, and diffusion-based texture completion.
  • Achieved state-of-the-art on NeuMan, ZJU-MoCap, TalkShow, and INSTA; reduced memory by ~50% and improved FPS by ~34% for head-only avatars; ~3% PSNR gain overall.