94 citations · 404 across the 41 of their papers we have counts for
9 papers · 1 filter
High Quality Diffusion Distillation on a Single GPU with Relative and Absolute Position Matching
Guoqiang Zhang, Kenta Niwa, J. P. Lewis +2
We introduce relative and absolute position matching (RAPM), a diffusion distillation method resulting in high quality generation that can be trained efficiently on a single GPU. R…
TrailBlazer: Trajectory Control for Diffusion-Based Video Generation
Wan-Duo Kurt Ma, J. P. Lewis, W. Bastiaan Kleijn
Within recent approaches to text-to-video (T2V) generation, achieving controllability in the synthesized video is often a challenge. Typically, this issue is addressed by providing…
Exact Diffusion Inversion via Bi-directional Integration Approximation
Guoqiang Zhang, J. P. Lewis, W. Bastiaan Kleijn
Recently, various methods have been proposed to address the inconsistency issue of DDIM inversion to enable image editing, such as EDICT [36] and Null-text inversion [22]. However,…
Directed Diffusion: Direct Control of Object Placement through Attention Guidance
Wan-Duo Kurt Ma, J. P. Lewis, Avisek Lahiri +2
Text-guided diffusion models such as DALLE-2, Imagen, eDiff-I, and Stable Diffusion are able to generate an effectively endless variety of images given only a short text prompt des…
Cross-modal Subspace Learning for Fine-grained Sketch-based Image Retrieval
Peng Xu, Qiyue Yin, Yongye Huang +6
Sketch-based image retrieval (SBIR) is challenging due to the inherent domain-gap between sketch and photo. Compared with pixel-perfect depictions of photos, sketches are iconic re…
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation
Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang +2
In this paper, we propose a novel unsupervised domain adaptation algorithm based on deep learning for visual object recognition. Specifically, we design a new model called Deep Rec…
Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization
Muhammad Ghifary, David Balduzzi, W. Bastiaan Kleijn +1
This paper addresses classification tasks on a particular target domain in which labeled training data are only available from source domains different from (but related to) the ta…
Domain Generalization for Object Recognition with Multi-task Autoencoders
Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang +1
The problem of domain generalization is to take knowledge acquired from a number of related domains where training data is available, and to then successfully apply it to previousl…
Domain Adaptive Neural Networks for Object Recognition
Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang
We propose a simple neural network model to deal with the domain adaptation problem in object recognition. Our model incorporates the Maximum Mean Discrepancy (MMD) measure as a re…