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20212026
most citedTransformerFusion: Monocular RGB Scene Reconstruction using Transformers

31 citations · 95 across the 39 of their papers we have counts for

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Showing 2023Show all

14 papers · 1 filter

cs.CV2023★ 2 cited

HAAR: Text-Conditioned Generative Model of 3D Strand-based Human Hairstyles

Vanessa Sklyarova, Egor Zakharov, Otmar Hilliges +2

We present HAAR, a new strand-based generative model for 3D human hairstyles. Specifically, based on textual inputs, HAAR produces 3D hairstyles that could be used as production-le…

cs.CV2023

360° Volumetric Portrait Avatar

Jalees Nehvi, Berna Kabadayi, Julien Valentin +1

We propose 360° Volumetric Portrait (3VP) Avatar, a novel method for reconstructing 360° photo-realistic portrait avatars of human subjects solely based on monocular video inputs.…

cs.CV2023

Synthesizing Environment-Specific People in Photographs

Mirela Ostrek, Carol O'Sullivan, Michael J. Black +1

We present ESP, a novel method for context-aware full-body generation, that enables photo-realistic synthesis and inpainting of people wearing clothing that is semantically appropr…

cs.CV2023★ 1 cited

FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models

Shivangi Aneja, Justus Thies, Angela Dai +1

We introduce FaceTalk, a novel generative approach designed for synthesizing high-fidelity 3D motion sequences of talking human heads from input audio signal. To capture the expres…

cs.CV2023

DPHMs: Diffusion Parametric Head Models for Depth-based Tracking

Jiapeng Tang, Angela Dai, Yinyu Nie +3

We introduce Diffusion Parametric Head Models (DPHMs), a generative model that enables robust volumetric head reconstruction and tracking from monocular depth sequences. While rece…

cs.CV2023★ 3 cited

3DiFACE: Diffusion-based Speech-driven 3D Facial Animation and Editing

Balamurugan Thambiraja, Sadegh Aliakbarian, Darren Cosker +1

We present 3DiFACE, a novel method for personalized speech-driven 3D facial animation and editing. While existing methods deterministically predict facial animations from speech, t…

cs.CV2023

GAN-Avatar: Controllable Personalized GAN-based Human Head Avatar

Berna Kabadayi, Wojciech Zielonka, Bharat Lal Bhatnagar +2

Digital humans and, especially, 3D facial avatars have raised a lot of attention in the past years, as they are the backbone of several applications like immersive telepresence in…

cs.CV2023★ 18 cited

Drivable 3D Gaussian Avatars

Wojciech Zielonka, Timur Bagautdinov, Shunsuke Saito +3

We present Drivable 3D Gaussian Avatars (D3GA), a multi-layered 3D controllable model for human bodies that utilizes 3D Gaussian primitives embedded into tetrahedral cages. The adv…

cs.CV2023★ 1 cited

Text-Guided Generation and Editing of Compositional 3D Avatars

Hao Zhang, Yao Feng, Peter Kulits +3

Our goal is to create a realistic 3D facial avatar with hair and accessories using only a text description. While this challenge has attracted significant recent interest, existing…

cs.AI2023★ 2 cited

TADA! Text to Animatable Digital Avatars

Tingting Liao, Hongwei Yi, Yuliang Xiu +4

We introduce TADA, a simple-yet-effective approach that takes textual descriptions and produces expressive 3D avatars with high-quality geometry and lifelike textures, that can be…

cs.CV2023★ 2 cited

TeCH: Text-guided Reconstruction of Lifelike Clothed Humans

Yangyi Huang, Hongwei Yi, Yuliang Xiu +4

Despite recent research advancements in reconstructing clothed humans from a single image, accurately restoring the "unseen regions" with high-level details remains an unsolved cha…

cs.CV2023★ 16 cited

CaPhy: Capturing Physical Properties for Animatable Human Avatars

Zhaoqi Su, Liangxiao Hu, Siyou Lin +4

We present CaPhy, a novel method for reconstructing animatable human avatars with realistic dynamic properties for clothing. Specifically, we aim for capturing the geometric and ph…

cs.CV2023★ 1 cited

SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes

Soubhik Sanyal, Partha Ghosh, Jinlong Yang +3

We present SCULPT, a novel 3D generative model for clothed and textured 3D meshes of humans. Specifically, we devise a deep neural network that learns to represent the geometry and…

cs.CV2023★ 9 cited

DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis

Jiapeng Tang, Yinyu Nie, Lev Markhasin +3

We present DiffuScene for indoor 3D scene synthesis based on a novel scene configuration denoising diffusion model. It generates 3D instance properties stored in an unordered objec…