activity
20162024
most citedShapeFormer: Transformer-based Shape Completion via Sparse Representation

8 citations · 23 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

Generating Non-Stationary Textures using Self-Rectification

Yang Zhou, Rongjun Xiao, Dani Lischinski +2

This paper addresses the challenge of example-based non-stationary texture synthesis. We introduce a novel twostep approach wherein users first modify a reference texture using sta…

cs.HC20243 cited

GraphiMind: LLM-centric Interface for Information Graphics Design

Qirui Huang, Min Lu, Joel Lanir +3

Information graphics are pivotal in effective information dissemination and storytelling. However, creating such graphics is extremely challenging for non-professionals, since the…

cs.CV20236 cited

Noise-Free Score Distillation

Oren Katzir, Or Patashnik, Daniel Cohen-Or +1

Score Distillation Sampling (SDS) has emerged as the de facto approach for text-to-content generation in non-image domains. In this paper, we reexamine the SDS process and introduc…

cs.CV20236 cited

EmoSet: A Large-scale Visual Emotion Dataset with Rich Attributes

Jingyuan Yang, Qirui Huang, Tingting Ding +3

Visual Emotion Analysis (VEA) aims at predicting people's emotional responses to visual stimuli. This is a promising, yet challenging, task in affective computing, which has drawn…

cs.CV20228 cited

ShapeFormer: Transformer-based Shape Completion via Sparse Representation

Xingguang Yan, Liqiang Lin, Niloy J. Mitra +3

We present ShapeFormer, a transformer-based network that produces a distribution of object completions, conditioned on incomplete, and possibly noisy, point clouds. The resultant d…

cs.CV2016

A Holistic Approach for Data-Driven Object Cutout

Huayong Xu, Yangyan Li, Wenzheng Chen +3

Object cutout is a fundamental operation for image editing and manipulation, yet it is extremely challenging to automate it in real-world images, which typically contain considerab…