1.1k citations · 1.6k across the 68 of their papers we have counts for
8 papers · 1 filter
LLDiffusion: Learning Degradation Representations in Diffusion Models for Low-Light Image Enhancement
Tao Wang, Kaihao Zhang, Ziqian Shao +5
Current deep learning methods for low-light image enhancement (LLIE) typically rely on pixel-wise mapping learned from paired data. However, these methods often overlook the import…
FourierHandFlow: Neural 4D Hand Representation Using Fourier Query Flow
Jihyun Lee, Junbong Jang, Donghwan Kim +2
Recent 4D shape representations model continuous temporal evolution of implicit shapes by (1) learning query flows without leveraging shape and articulation priors or (2) decoding…
iEdit: Localised Text-guided Image Editing with Weak Supervision
Rumeysa Bodur, Erhan Gundogdu, Binod Bhattarai +3
Diffusion models (DMs) can generate realistic images with text guidance using large-scale datasets. However, they demonstrate limited controllability in the output space of the gen…
PoseMatcher: One-shot 6D Object Pose Estimation by Deep Feature Matching
Pedro Castro, Tae-Kyun Kim
Estimating the pose of an unseen object is the goal of the challenging one-shot pose estimation task. Previous methods have heavily relied on feature matching with great success. H…
MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive Learning
Jiaze Sun, Zhixiang Chen, Tae-Kyun Kim
3D pose transfer is a challenging generation task that aims to transfer the pose of a source geometry onto a target geometry with the target identity preserved. Many prior methods…
Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes
Jihyun Lee, Minhyuk Sung, Honggyu Choi +1
We present Implicit Two Hands (Im2Hands), the first neural implicit representation of two interacting hands. Unlike existing methods on two-hand reconstruction that rely on a param…
Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses
Junbong Jang, Kwonmoo Lee, Tae-Kyun Kim
Analyzing the dynamic changes of cellular morphology is important for understanding the various functions and characteristics of live cells, including stem cells and metastatic can…
MoBYv2AL: Self-supervised Active Learning for Image Classification
Razvan Caramalau, Binod Bhattarai, Danail Stoyanov +1
Active learning(AL) has recently gained popularity for deep learning(DL) models. This is due to efficient and informative sampling, especially when the learner requires large-scale…