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08/03/2023
ConceptLab: Creative Generation using Diffusion Prior Constraints
Recent text-to-image generative models have enabled us to transform our ...
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07/16/2023
EmoSet: A Large-scale Visual Emotion Dataset with Rich Attributes
Visual Emotion Analysis (VEA) aims at predicting people's emotional resp...
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07/13/2023
Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models
Text-to-image (T2I) personalization allows users to guide the creative i...
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07/12/2023
Facial Reenactment Through a Personalized Generator
In recent years, the role of image generative models in facial reenactme...
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06/28/2023
SVNR: Spatially-variant Noise Removal with Denoising Diffusion
Denoising diffusion models have recently shown impressive results in gen...
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06/09/2023
SENS: Sketch-based Implicit Neural Shape Modeling
We present SENS, a novel method for generating and editing 3D models fro...
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05/29/2023
Concept Decomposition for Visual Exploration and Inspiration
A creative idea is often born from transforming, combining, and modifyin...
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05/25/2023
Break-A-Scene: Extracting Multiple Concepts from a Single Image
Text-to-image model personalization aims to introduce a user-provided co...
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05/24/2023
A Neural Space-Time Representation for Text-to-Image Personalization
A key aspect of text-to-image personalization methods is the manner in w...
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04/14/2023
Delta Denoising Score
We introduce Delta Denoising Score (DDS), a novel scoring function for t...
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03/23/2023
Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes
Recent breakthroughs in text-guided image generation have led to remarka...
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03/20/2023
Localizing Object-level Shape Variations with Text-to-Image Diffusion Models
Text-to-image models give rise to workflows which often begin with an ex...
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03/19/2023
SKED: Sketch-guided Text-based 3D Editing
Text-to-image diffusion models are gradually introduced into computer gr...
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03/16/2023
P+: Extended Textual Conditioning in Text-to-Image Generation
We introduce an Extended Textual Conditioning space in text-to-image mod...
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03/03/2023
Word-As-Image for Semantic Typography
A word-as-image is a semantic typography technique where a word illustra...
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02/23/2023
Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models
Text-to-image personalization aims to teach a pre-trained diffusion mode...
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02/20/2023
Cross-domain Compositing with Pretrained Diffusion Models
Diffusion models have enabled high-quality, conditional image editing ca...
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02/12/2023
Single Motion Diffusion
Synthesizing realistic animations of humans, animals, and even imaginary...
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02/03/2023
TEXTure: Text-Guided Texturing of 3D Shapes
In this paper, we present TEXTure, a novel method for text-guided genera...
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01/31/2023
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models
Recent text-to-image generative models have demonstrated an unparalleled...
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01/12/2023
Domain Expansion of Image Generators
Can one inject new concepts into an already trained generative model, wh...
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11/30/2022
CLIPascene: Scene Sketching with Different Types and Levels of Abstraction
In this paper, we present a method for converting a given scene image in...
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11/24/2022
Sketch-Guided Text-to-Image Diffusion Models
Text-to-Image models have introduced a remarkable leap in the evolution ...
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11/14/2022
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures
Text-guided image generation has progressed rapidly in recent years, ins...
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09/29/2022
Human Motion Diffusion Model
Natural and expressive human motion generation is the holy grail of comp...
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08/02/2022
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Text-to-image models offer unprecedented freedom to guide creation throu...
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06/16/2022
MoDi: Unconditional Motion Synthesis from Diverse Data
The emergence of neural networks has revolutionized the field of motion ...
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04/03/2022
Shape-Pose Disentanglement using SE(3)-equivariant Vector Neurons
We introduce an unsupervised technique for encoding point clouds into a ...
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03/31/2022
MyStyle: A Personalized Generative Prior
We introduce MyStyle, a personalized deep generative prior trained with ...
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03/15/2022
MotionCLIP: Exposing Human Motion Generation to CLIP Space
We introduce MotionCLIP, a 3D human motion auto-encoder featuring a late...
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02/11/2022
Multi-level Latent Space Structuring for Generative Control
Truncation is widely used in generative models for improving the quality...
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02/11/2022
CLIPasso: Semantically-Aware Object Sketching
Abstraction is at the heart of sketching due to the simple and minimal n...
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02/08/2022
Self-Conditioned Generative Adversarial Networks for Image Editing
Generative Adversarial Networks (GANs) are susceptible to bias, learned ...
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02/06/2022
FEAT: Face Editing with Attention
Employing the latent space of pretrained generators has recently been sh...
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01/31/2022
Third Time's the Charm? Image and Video Editing with StyleGAN3
StyleGAN is arguably one of the most intriguing and well-studied generat...
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01/31/2022
SPAGHETTI: Editing Implicit Shapes Through Part Aware Generation
Neural implicit fields are quickly emerging as an attractive representat...
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01/25/2022
ShapeFormer: Transformer-based Shape Completion via Sparse Representation
We present ShapeFormer, a transformer-based network that produces a dist...
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01/05/2022
DeepMLS: Geometry-Aware Control Point Deformation
We introduce DeepMLS, a space-based deformation technique, guided by a s...
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11/23/2021
Rhythm is a Dancer: Music-Driven Motion Synthesis with Global Structure
Synthesizing human motion with a global structure, such as a choreograph...
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10/11/2021
Mesh Draping: Parametrization-Free Neural Mesh Transfer
Despite recent advances in geometric modeling, 3D mesh modeling still in...
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08/02/2021
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators
Can a generative model be trained to produce images from a specific doma...
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07/22/2021
LARGE: Latent-Based Regression through GAN Semantics
We propose a novel method for solving regression tasks using few-shot or...
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07/15/2021
StyleFusion: A Generative Model for Disentangling Spatial Segments
We present StyleFusion, a new mapping architecture for StyleGAN, which t...
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06/08/2021
MoCo-Flow: Neural Motion Consensus Flow for Dynamic Humans in Stationary Monocular Cameras
Synthesizing novel views of dynamic humans from stationary monocular cam...
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06/01/2021
Consistent Two-Flow Network for Tele-Registration of Point Clouds
Rigid registration of partial observations is a fundamental problem in v...
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05/30/2021
Z2P: Instant Rendering of Point Clouds
We present a technique for rendering point clouds using a neural network...
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05/05/2021
FLEX: Parameter-free Multi-view 3D Human Motion Reconstruction
The increasing availability of video recordings made by multiple cameras...
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05/04/2021
Orienting Point Clouds with Dipole Propagation
Establishing a consistent normal orientation for point clouds is a notor...
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04/19/2021
SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization
Multilayer-perceptrons (MLP) are known to struggle with learning functio...
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04/06/2021
