Lischinski, D.
* 2002: Gradient domain high dynamic range compression
* 2005: Dynamosaics: Video Mosaics with Non-Chronological Time
* 2006: Closed-Form Solution to Natural Image Matting, A
* 2006: Inducing Semantic Segmentation from an Example
* 2007: Dynamosaicing: Mosaicing of Dynamic Scenes
* 2007: Spectral Matting
* 2008: Closed-Form Solution to Natural Image Matting, A
* 2008: Edge-preserving decompositions for multi-scale tone and detail manipulation
* 2008: Spectral Matting
* 2010: Image upsampling via texture hallucination
* 2010: Personalization of image enhancement
* 2013: Deblurring by Example Using Dense Correspondence
* 2013: Illuminant Chromaticity from Image Sequences
* 2013: Specular highlight enhancement from video sequences
* 2014: Collaborative Personalization of Image Enhancement
* 2016: Holistic Approach for Data-Driven Object Cutout, A
* 2016: Synthesizing Training Images for Boosting Human 3D Pose Estimation
* 2017: Joint Bi-layer Optimization for Single-Image Rain Streak Removal
* 2018: Multi-scale Context Intertwining for Semantic Segmentation
* 2019: ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object Segmentation
* 2020: Cross-domain Cascaded Deep Translation
* 2020: CrossNet: Latent Cross-Consistency for Unpaired Image Translation
* 2021: Fine-grained Foreground Retrieval via Teacher-Student Learning
* 2021: ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation
* 2021: StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery
* 2021: StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation
* 2022: Blended Diffusion for Text-driven Editing of Natural Images
* 2022: Classification-Regression for Chart Comprehension
* 2022: DO-Conv: Depthwise Over-Parameterized Convolutional Layer
* 2022: GAN Cocktail: Mixing GANs Without Dataset Access
* 2022: Shape-Pose Disentanglement Using SE(3)-Equivariant Vector Neurons
* 2022: ShapeFormer: Transformer-based Shape Completion via Sparse Representation
* 2022: Third Time's the Charm? Image and Video Editing with Stylegan3
* 2023: Blended-NeRF: Zero-Shot Object Generation and Blending in Existing Neural Radiance Fields
* 2023: EmoSet: A Large-scale Visual Emotion Dataset with Rich Attributes
* 2023: SpaText: Spatio-Textual Representation for Controllable Image Generation
Includes: Lischinski, D. Lischinski, D.[Dani]
36 for Lischinski, D.
Lisci, R.[Riccardo]
* 2022: Comparison of Aerial and Ground 3D Point Clouds for Canopy Size Assessment in Precision Viticulture