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Technical University of Munich
- Munich, Germany
- https://www.christian-diller.de
- @chrdiller
- in/christian-diller
- https://scholar.google.com/citations?user=cm86jbMAAAAJ
Highlights
- Pro
Stars
High-resolution models for human tasks.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Release for the Siggraph Asia 2023 SKEL paper "From Skin to Skeleton: Towards Biomechanically Accurate 3D Digital Humans".
Enable inputting a SMPL sequence into AddBiomechanics to fit an OpenSim skeleton model to the sequence.
[CVPR 2024 Highlight] SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors
[ICCV 2023 Oral] ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes
Official PyTorch implementation of the paper "TEMOS: Generating diverse human motions from textual descriptions", ECCV 2022 (Oral)
[ICCV 2023] Official PyTorch implementation of the paper "InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion"
KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
Swift app demonstrating Core ML Stable Diffusion
This repo accompanies the research paper, ARKitScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile RGB-D Data and contains the data, scripts to visualize and proces…
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
Official Code for the paper accepted at CVPR 2022
(CVPR2023)3D Human Pose Estimation with Spatio-Temporal Criss-cross Attention
Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)
[ICCV2023] Joint-Relation Transformer for Multi-Person Motion Prediction
Code for the ALiBi method for transformer language models (ICLR 2022)
[CVPR 2022] FaceFormer: Speech-Driven 3D Facial Animation with Transformers
[SIGGRAPH 2023] We provide a unified formula for neural fields (Factor Fields) and a novel dictionary factorization (Dictionary Fields)
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
[CVPR'23] MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation