Search Results for author: Nikos Kolotouros

Found 12 papers, 8 papers with code

Instant 3D Human Avatar Generation using Image Diffusion Models

no code implementations11 Jun 2024 Nikos Kolotouros, Thiemo Alldieck, Enric Corona, Eduard Gabriel Bazavan, Cristian Sminchisescu

We present AvatarPopUp, a method for fast, high quality 3D human avatar generation from different input modalities, such as images and text prompts and with control over the generated pose and shape.

3D Generation

VLOGGER: Multimodal Diffusion for Embodied Avatar Synthesis

no code implementations13 Mar 2024 Enric Corona, Andrei Zanfir, Eduard Gabriel Bazavan, Nikos Kolotouros, Thiemo Alldieck, Cristian Sminchisescu

We propose VLOGGER, a method for audio-driven human video generation from a single input image of a person, which builds on the success of recent generative diffusion models.

Face Detection Video Editing +1

Score Distillation Sampling with Learned Manifold Corrective

no code implementations10 Jan 2024 Thiemo Alldieck, Nikos Kolotouros, Cristian Sminchisescu

Score Distillation Sampling (SDS) is a recent but already widely popular method that relies on an image diffusion model to control optimization problems using text prompts.

Denoising Image Generation +1

DiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans

no code implementations CVPR 2024 Akash Sengupta, Thiemo Alldieck, Nikos Kolotouros, Enric Corona, Andrei Zanfir, Cristian Sminchisescu

Our experiments show that DiffHuman can produce diverse and detailed reconstructions for the parts of the person that are unseen or uncertain in the input image while remaining competitive with the state-of-the-art when reconstructing visible surfaces.

3D Human Reconstruction 3D Reconstruction +2

Birds of a Feather: Capturing Avian Shape Models from Images

1 code implementation CVPR 2021 Yufu Wang, Nikos Kolotouros, Kostas Daniilidis, Marc Badger

We learn models of multiple species from the CUB dataset, and contribute new species-specific and multi-species shape models that are useful for downstream reconstruction tasks.

Coherent Reconstruction of Multiple Humans from a Single Image

1 code implementation CVPR 2020 Wen Jiang, Nikos Kolotouros, Georgios Pavlakos, Xiaowei Zhou, Kostas Daniilidis

Our goal is to train a single network that learns to avoid these problems and generate a coherent 3D reconstruction of all the humans in the scene.

3D Depth Estimation 3D Human Reconstruction +4

TexturePose: Supervising Human Mesh Estimation with Texture Consistency

1 code implementation ICCV 2019 Georgios Pavlakos, Nikos Kolotouros, Kostas Daniilidis

Assuming that the texture of the person does not change dramatically between frames, we can apply a novel texture consistency loss, which enforces that each point in the texture map has the same texture value across all frames.

Pose Estimation Weakly-supervised 3D Human Pose Estimation

Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop

1 code implementation ICCV 2019 Nikos Kolotouros, Georgios Pavlakos, Michael J. Black, Kostas Daniilidis

Our approach is self-improving by nature, since better network estimates can lead the optimization to better solutions, while more accurate optimization fits provide better supervision for the network.

3D Human Shape Estimation 3D Multi-Person Pose Estimation

Convolutional Mesh Regression for Single-Image Human Shape Reconstruction

2 code implementations CVPR 2019 Nikos Kolotouros, Georgios Pavlakos, Kostas Daniilidis

Image-based features are attached to the mesh vertices and the Graph-CNN is responsible to process them on the mesh structure, while the regression target for each vertex is its 3D location.

3D Hand Pose Estimation 3D human pose and shape estimation +2

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