activity
20182025
most citedDrag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold

205 citations · 728 across the 34 of their papers we have counts for

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49 papers · 1 filter

cs.CV2025

Ego4o: Egocentric Human Motion Capture and Understanding from Multi-Modal Input

Jian Wang, Rishabh Dabral, Diogo Luvizon +4

This work focuses on tracking and understanding human motion using consumer wearable devices, such as VR/AR headsets, smart glasses, cellphones, and smartwatches. These devices pro…

cs.CV2023

Egocentric Whole-Body Motion Capture with FisheyeViT and Diffusion-Based Motion Refinement

Jian Wang, Zhe Cao, Diogo Luvizon +5

In this work, we explore egocentric whole-body motion capture using a single fisheye camera, which simultaneously estimates human body and hand motion. This task presents significa…

cs.CV2023★ 25 cited

Wonder3D: Single Image to 3D using Cross-Domain Diffusion

Xiaoxiao Long, Yuan-Chen Guo, Cheng Lin +8

In this work, we introduce Wonder3D, a novel method for efficiently generating high-fidelity textured meshes from single-view images.Recent methods based on Score Distillation Samp…

cs.CV2023★ 8 cited

DELIFFAS: Deformable Light Fields for Fast Avatar Synthesis

Youngjoong Kwon, Lingjie Liu, Henry Fuchs +2

Generating controllable and photorealistic digital human avatars is a long-standing and important problem in Vision and Graphics. Recent methods have shown great progress in terms…

cs.CV2023★ 51 cited

SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

Yuan Liu, Cheng Lin, Zijiao Zeng +4

In this paper, we present a novel diffusion model called that generates multiview-consistent images from a single-view image. Using pretrained large-scale 2D diffusion models, rece…

cs.CV2023★ 4 cited

BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping

Jiatao Gu, Shuangfei Zhai, Yizhe Zhang +2

Diffusion models have demonstrated excellent potential for generating diverse images. However, their performance often suffers from slow generation due to iterative denoising. Know…