Is this you? Claim this profile to correct it, add a bio and choose the work people see first.
Claim this profileAcademic lineage
Possible advisorsa guess from early papers, not confirmed
- Bodo RosenhahnSuggested from co-authorship
Is this you? Claim this profile to confirm or dismiss it.
Works46 from public data
- Human Gaussian Splatting: Real-Time Rendering of Animatable Avatars146
This work proposes an animatable human model based on 3D Gaussian Splatting, that has recently emerged as a very efficient alternative to neural radiance fields, that achieves 1.5 dB PSNR improvement over the state-of-the-art on THuman4 dataset while being able to render in real-time.
- 119
- NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results87
This paper reviews the first challenge on high-dynamic range (HDR) imaging that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2021.
- Model-Based Image Signal Processors via Learnable Dictionaries65
This work proposes an invertible model, capable of bidirectional mapping between RAW and RGB domains, that employs end-to-end learning of rich parameter representations that are free from direct parametric supervision and additionally enable simple and plausible data augmentation.
- SWinGS: Sliding Windows for Dynamic 3D Gaussian Splatting55
This work extends 3D Gaussian Splatting to reconstruct dynamic scenes with competitive quantitative performance, and introduces a sliding window training strategy that partitions the sequence into smaller manageable windows to handle arbitrary length scenes while maintaining high rendering quality.
- 52
- 49
- 45
- NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results45
This paper reviews the challenge on constrained high dynamic range (HDR) imaging that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2022, and the competition set-up, datasets, proposed methods and their results.
- FlexHDR: Modeling Alignment and Exposure Uncertainties for Flexible HDR Imaging36
A strategy that learns to jointly align and assess the alignment and exposure reliability using an HDR-aware, uncertainty-driven attention map that robustly merges the frames into a single high quality HDR image is introduced.
- Photorealistic Video Super Resolution25
This work presents a novel adversarial recurrent network for video upscaling that is able to produce realistic textures in a temporally consistent way and proposes an additional loss function to reinforce temporal consistency in the generated sequences.
- Antipodally Invariant Metrics for Fast Regression-Based Super-Resolution16
This paper presents a very fast regression-based algorithm, which builds on the densely populated anchored neighborhoods and sublinear search structures, and proposes a simple yet effective antipodally invariant transform that can be easily included in the Euclidean distance calculation.
- HDR Reconstruction from Bracketed Exposures and Events15
This paper presents a multi-modal end-to-end learning-based HDR imaging system that fuses bracketed images and event modalities in the feature domain using attention and multi-scale spatial alignment modules and proposes a novel event- to-image feature distillation module that learns to translate event features into the image-feature space with self-supervision.
- Fast Super-Resolution via Dense Local Training and Inverse Regressor Search14
This paper proposes a novel inverse-search approach for regression-based Super-Resolution by applying spherical hashing to both image and regressors, which reduces the inverse search into computing a trained function.
- 11
- 10
- 9
- 9
- 8
- Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images8
A new label-efficient learning paradigm based on residuals, residual contrastive learning (RCL), is proposed, and an unsupervised visual representation learning framework is derived, suitable for low-level vision tasks with noisy inputs.
- 8
- 7
- 6
- 5
- 5
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-16. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
Report an error
Wrong papers, two people merged into one, or a profile that should not be here? Tell us and we will fix or hide it.