5 citations · 21 across the 61 of their papers we have counts for
9 papers · 1 filter
EVP: Enhanced Visual Perception using Inverse Multi-Attentive Feature Refinement and Regularized Image-Text Alignment
Mykola Lavreniuk, Shariq Farooq Bhat, Matthias Müller +1
This work presents the network architecture EVP (Enhanced Visual Perception). EVP builds on the previous work VPD which paved the way to use the Stable Diffusion network for comput…
VoxelKP: A Voxel-based Network Architecture for Human Keypoint Estimation in LiDAR Data
Jian Shi, Peter Wonka
We present \textit{VoxelKP}, a novel fully sparse network architecture tailored for human keypoint estimation in LiDAR data. The key challenge is that objects are distributed spars…
LooseControl: Lifting ControlNet for Generalized Depth Conditioning
Shariq Farooq Bhat, Niloy J. Mitra, Peter Wonka
We present LooseControl to allow generalized depth conditioning for diffusion-based image generation. ControlNet, the SOTA for depth-conditioned image generation, produces remarkab…
PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation
Zhenyu Li, Shariq Farooq Bhat, Peter Wonka
Single image depth estimation is a foundational task in computer vision and generative modeling. However, prevailing depth estimation models grapple with accommodating the increasi…
LatentMan: Generating Consistent Animated Characters using Image Diffusion Models
Abdelrahman Eldesokey, Peter Wonka
We propose a zero-shot approach for generating consistent videos of animated characters based on Text-to-Image (T2I) diffusion models. Existing Text-to-Video (T2V) methods are expe…
ART-Owen Scrambling
Abdalla G. M. Ahmed, Matt Pharr, Peter Wonka
We present a novel algorithm for implementing Owen-scrambling, combining the generation and distribution of the scrambling bits in a single self-contained compact process. We emplo…
4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling
Sherwin Bahmani, Ivan Skorokhodov, Victor Rong +7
Recent breakthroughs in text-to-4D generation rely on pre-trained text-to-image and text-to-video models to generate dynamic 3D scenes. However, current text-to-4D methods face a t…
3DCoMPaT: An improved Large-scale 3D Vision Dataset for Compositional Recognition
Habib Slim, Xiang Li, Yuchen Li +8
In this work, we present 3DCoMPaT, a multimodal 2D/3D dataset with 160 million rendered views of more than 10 million stylized 3D shapes carefully annotated at the part-inst…
LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts
Hanan Gani, Shariq Farooq Bhat, Muzammal Naseer +2
Diffusion-based generative models have significantly advanced text-to-image generation but encounter challenges when processing lengthy and intricate text prompts describing comple…