3 citations · 8 across the 9 of their papers we have counts for
9 papers · 1 filter
ELITE: Efficient Gaussian Head Avatar from a Monocular Video via Learned Initialization and TEst-time Generative Adaptation
Kim Youwang, Lee Hyoseok, Subin Park +2
We introduce ELITE, an Efficient Gaussian head avatar synthesis from a monocular video via Learned Initialization and TEst-time generative adaptation. Prior works rely either on a…
MeTTA: Single-View to 3D Textured Mesh Reconstruction with Test-Time Adaptation
Kim Yu-Ji, Hyunwoo Ha, Kim Youwang +3
Reconstructing 3D from a single view image is a long-standing challenge. One of the popular approaches to tackle this problem is learning-based methods, but dealing with the test c…
Robust 3D Shape Reconstruction in Zero-Shot from a Single Image in the Wild
Junhyeong Cho, Kim Youwang, Hunmin Yang +1
Recent monocular 3D shape reconstruction methods have shown promising zero-shot results on object-segmented images without any occlusions. However, their effectiveness is significa…
FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields
GeonU Kim, Kim Youwang, Tae-Hyun Oh
We present FPRF, a feed-forward photorealistic style transfer method for large-scale 3D neural radiance fields. FPRF stylizes large-scale 3D scenes with arbitrary, multiple style r…
Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering
Kim Youwang, Tae-Hyun Oh, Gerard Pons-Moll
We present Paint-it, a text-driven high-fidelity texture map synthesis method for 3D meshes via neural re-parameterized texture optimization. Paint-it synthesizes texture maps from…
A Large-Scale 3D Face Mesh Video Dataset via Neural Re-parameterized Optimization
Kim Youwang, Lee Hyun, Kim Sung-Bin +3
We propose NeuFace, a 3D face mesh pseudo annotation method on videos via neural re-parameterized optimization. Despite the huge progress in 3D face reconstruction methods, generat…
Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers
Junhyeong Cho, Kim Youwang, Tae-Hyun Oh
Transformer encoder architectures have recently achieved state-of-the-art results on monocular 3D human mesh reconstruction, but they require a substantial number of parameters and…
CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshes
Kim Youwang, Kim Ji-Yeon, Tae-Hyun Oh
We propose CLIP-Actor, a text-driven motion recommendation and neural mesh stylization system for human mesh animation. CLIP-Actor animates a 3D human mesh to conform to a text pro…
Unified 3D Mesh Recovery of Humans and Animals by Learning Animal Exercise
Kim Youwang, Kim Ji-Yeon, Kyungdon Joo +1
We propose an end-to-end unified 3D mesh recovery of humans and quadruped animals trained in a weakly-supervised way. Unlike recent work focusing on a single target class only, we…