5 citations · 12 across the 5 of their papers we have counts for
5 papers
Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models
Byungjun Kim, Patrick Kwon, Kwangho Lee +4
We propose a 3D generation pipeline that uses diffusion models to generate realistic human digital avatars. Due to the wide variety of human identities, poses, and stochastic detai…
Few-Shot Object Detection by Attending to Per-Sample-Prototype
Hojun Lee, Myunggi Lee, Nojun Kwak
Few-shot object detection aims to detect instances of specific categories in a query image with only a handful of support samples. Although this takes less effort than obtaining en…
StyleUV: Diverse and High-fidelity UV Map Generative Model
Myunggi Lee, Wonwoong Cho, Moonheum Kim +2
Reconstructing 3D human faces in the wild with the 3D Morphable Model (3DMM) has become popular in recent years. While most prior work focuses on estimating more robust and accurat…
Motion Feature Network: Fixed Motion Filter for Action Recognition
Myunggi Lee, Seungeui Lee, Sungjoon Son +2
Spatio-temporal representations in frame sequences play an important role in the task of action recognition. Previously, a method of using optical flow as a temporal information in…
Where to Play: Retrieval of Video Segments using Natural-Language Queries
Sangkuk Lee, Daesik Kim, Myunggi Lee +2
In this paper, we propose a new approach for retrieval of video segments using natural language queries. Unlike most previous approaches such as concept-based methods or rule-based…