activity
20242026
most citedGenLCA: 3D Diffusion for Full-Body Avatars from In-the-Wild Videos

1 citations · 2 across the 13 of their papers we have counts for

collaborators

14 papers

cs.GR2026

How to Build Digital Humans? From Priors to Photorealistic Avatars

Wojciech Zielonka, Tobias Kirschstein, Timo Bolkart +8

This state-of-the-art report provides an overview of controllable 3D human avatar creation. We describe current 3D avatar systems, which typically consist of three stages: (i) lear…

cs.CV2026

Sapiens2

Rawal Khirodkar, He Wen, Julieta Martinez +3

We present Sapiens2, a model family of high-resolution transformers for human-centric vision focused on generalization, versatility, and high-fidelity outputs. Our model sizes rang…

cs.CV20261 cited

GenLCA: 3D Diffusion for Full-Body Avatars from In-the-Wild Videos

Yiqian Wu, Rawal Khirodkar, Egor Zakharov +6

We present GenLCA, a diffusion-based generative model for generating and editing photorealistic full-body avatars from text and image inputs. The generated avatars are faithful to…

cs.CV2025

Capture, Canonicalize, Splat: Zero-Shot 3D Gaussian Avatars from Unstructured Phone Images

Emanuel Garbin, Guy Adam, Oded Krams +14

We present a novel, zero-shot pipeline for creating hyperrealistic, identity-preserving 3D avatars from a few unstructured phone images. Existing methods face several challenges: s…

cs.GR2025

3DGH: 3D Head Generation with Composable Hair and Face

Chengan He, Junxuan Li, Tobias Kirschstein +7

We present 3DGH, an unconditional generative model for 3D human heads with composable hair and face components. Unlike previous work that entangles the modeling of hair and face, w…

cs.CV2025

FRESA: Feedforward Reconstruction of Personalized Skinned Avatars from Few Images

Rong Wang, Fabian Prada, Ziyan Wang +10

We present a novel method for reconstructing personalized 3D human avatars with realistic animation from only a few images. Due to the large variations in body shapes, poses, and c…