activity
20152026
most citedDISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction

236 citations · 604 across the 49 of their papers we have counts for

collaborators
Showing cs.GRShow all

7 papers · 1 filter

cs.GR2025★ 1 cited

MonetGPT: Solving Puzzles Enhances MLLMs' Image Retouching Skills

Niladri Shekhar Dutt, Duygu Ceylan, Niloy J. Mitra

Retouching is an essential task in post-manipulation of raw photographs. Generative editing, guided by text or strokes, provides a new tool accessible to users but can easily chang…

cs.GR2024★ 5 cited

Neural Garment Dynamics via Manifold-Aware Transformers

Peizhuo Li, Tuanfeng Y. Wang, Timur Levent Kesdogan +2

Data driven and learning based solutions for modeling dynamic garments have significantly advanced, especially in the context of digital humans. However, existing approaches often…

cs.GR2022

A Repulsive Force Unit for Garment Collision Handling in Neural Networks

Qingyang Tan, Yi Zhou, Tuanfeng Wang +3

Despite recent success, deep learning-based methods for predicting 3D garment deformation under body motion suffer from interpenetration problems between the garment and the body.…

cs.GR2021★ 14 cited

CurveFusion: Reconstructing Thin Structures from RGBD Sequences

Lingjie Liu, Nenglun Chen, Duygu Ceylan +3

We introduce CurveFusion, the first approach for high quality scanning of thin structures at interactive rates using a handheld RGBD camera. Thin filament-like structures are mathe…

cs.GR2020★ 3 cited

Deep Detail Enhancement for Any Garment

Meng Zhang, Tuanfeng Wang, Duygu Ceylan +1

Creating fine garment details requires significant efforts and huge computational resources. In contrast, a coarse shape may be easy to acquire in many scenarios (e.g., via low-res…

cs.GR2018

Learning a Shared Shape Space for Multimodal Garment Design

Tuanfeng Y. Wang, Duygu Ceylan, Jovan Popovic +1

Designing real and virtual garments is becoming extremely demanding with rapidly changing fashion trends and increasing need for synthesizing realistic dressed digital humans for v…

cs.GR2018★ 48 cited

iMapper: Interaction-guided Joint Scene and Human Motion Mapping from Monocular Videos

Aron Monszpart, Paul Guerrero, Duygu Ceylan +2

A long-standing challenge in scene analysis is the recovery of scene arrangements under moderate to heavy occlusion, directly from monocular video. While the problem remains a subj…