3 citations · 4 across the 8 of their papers we have counts for
8 papers
SweepNet: Unsupervised Learning Shape Abstraction via Neural Sweepers
Mingrui Zhao, Yizhi Wang, Fenggen Yu +2
Shape abstraction is an important task for simplifying complex geometric structures while retaining essential features. Sweep surfaces, commonly found in human-made objects, aid in…
pOps: Photo-Inspired Diffusion Operators
Elad Richardson, Yuval Alaluf, Ali Mahdavi-Amiri +1
Text-guided image generation enables the creation of visual content from textual descriptions. However, certain visual concepts cannot be effectively conveyed through language alon…
AnaMoDiff: 2D Analogical Motion Diffusion via Disentangled Denoising
Maham Tanveer, Yizhi Wang, Ruiqi Wang +3
We present AnaMoDiff, a novel diffusion-based method for 2D motion analogies that is applied to raw, unannotated videos of articulated characters. Our goal is to accurately transfe…
SYRAC: Synthesize, Rank, and Count
Adriano D'Alessandro, Ali Mahdavi-Amiri, Ghassan Hamarneh
Crowd counting is a critical task in computer vision, with several important applications. However, existing counting methods rely on labor-intensive density map annotations, neces…
PARIS: Part-level Reconstruction and Motion Analysis for Articulated Objects
Jiayi Liu, Ali Mahdavi-Amiri, Manolis Savva
We address the task of simultaneous part-level reconstruction and motion parameter estimation for articulated objects. Given two sets of multi-view images of an object in two stati…
DS-Fusion: Artistic Typography via Discriminated and Stylized Diffusion
Maham Tanveer, Yizhi Wang, Ali Mahdavi-Amiri +1
We introduce a novel method to automatically generate an artistic typography by stylizing one or more letter fonts to visually convey the semantics of an input word, while ensuring…