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09/19/2023
Interpret Vision Transformers as ConvNets with Dynamic Convolutions
There has been a debate about the superiority between vision Transformer...
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09/14/2023
Unified Human-Scene Interaction via Prompted Chain-of-Contacts
Human-Scene Interaction (HSI) is a vital component of fields like embodi...
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08/29/2023
Learning Modulated Transformation in GANs
The success of style-based generators largely benefits from style modula...
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08/29/2023
DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
We present DiffBIR, which leverages pretrained text-to-image diffusion m...
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08/21/2023
X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events
Intuitive physics is pivotal for human understanding of the physical wor...
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08/18/2023
MATLABER: Material-Aware Text-to-3D via LAtent BRDF auto-EncodeR
Based on powerful text-to-image diffusion models, text-to-3D generation ...
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08/11/2023
DF2: Distribution-Free Decision-Focused Learning
Decision-focused learning (DFL) has recently emerged as a powerful appro...
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07/10/2023
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
With the advance of text-to-image models (e.g., Stable Diffusion) and co...
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06/05/2023
HireVAE: An Online and Adaptive Factor Model Based on Hierarchical and Regime-Switch VAE
Factor model is a fundamental investment tool in quantitative investment...
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06/02/2023
Probabilistic Adaptation of Text-to-Video Models
Large text-to-video models trained on internet-scale data have demonstra...
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06/01/2023
Controllable Motion Diffusion Model
Generating realistic and controllable motions for virtual characters is ...
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05/26/2023
AdaPlanner: Adaptive Planning from Feedback with Language Models
Large language models (LLMs) have recently demonstrated the potential in...
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05/25/2023
E2EAI: End-to-End Deep Learning Framework for Active Investing
Active investing aims to construct a portfolio of assets that are believ...
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05/22/2023
RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars
Synthesizing high-fidelity head avatars is a central problem for compute...
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05/17/2023
Towards Multi-Layered 3D Garments Animation
Mimicking realistic dynamics in 3D garment animations is a challenging t...
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05/06/2023
LEO: Generative Latent Image Animator for Human Video Synthesis
Spatio-temporal coherency is a major challenge in synthesizing high qual...
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04/08/2023
Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding
Optimal control is notoriously difficult for stochastic nonlinear system...
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04/04/2023
Revisiting the Evaluation of Image Synthesis with GANs
A good metric, which promises a reliable comparison between solutions, i...
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04/03/2023
Generative Diffusion Prior for Unified Image Restoration and Enhancement
Existing image restoration methods mostly leverage the posterior distrib...
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03/30/2023
SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling
Synthetic data has emerged as a promising source for 3D human research a...
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03/24/2023
Grid-guided Neural Radiance Fields for Large Urban Scenes
Purely MLP-based neural radiance fields (NeRF-based methods) often suffe...
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03/24/2023
AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation
Both indoor and outdoor environments are inherently structured and repet...
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03/23/2023
Task-Oriented Human-Object Interactions Generation with Implicit Neural Representations
Digital human motion synthesis is a vibrant research field with applicat...
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03/18/2023
3D Data Augmentation for Driving Scenes on Camera
Driving scenes are extremely diverse and complicated that it is impossib...
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03/14/2023
Controllable Mesh Generation Through Sparse Latent Point Diffusion Models
Mesh generation is of great value in various applications involving comp...
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03/13/2023
Prototype-based Embedding Network for Scene Graph Generation
Current Scene Graph Generation (SGG) methods explore contextual informat...
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01/31/2023
Learning Universal Policies via Text-Guided Video Generation
A goal of artificial intelligence is to construct an agent that can solv...
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01/30/2023
Dynamic Storyboard Generation in an Engine-based Virtual Environment for Video Production
Amateurs working on mini-films and short-form videos usually spend lots ...
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01/16/2023
The Role of Baselines in Policy Gradient Optimization
We study the effect of baselines in on-policy stochastic policy gradient...
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12/17/2022
Latent Variable Representation for Reinforcement Learning
Deep latent variable models have achieved significant empirical successe...
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12/14/2022
3DHumanGAN: Towards Photo-Realistic 3D-Aware Human Image Generation
We present 3DHumanGAN, a 3D-aware generative adversarial network (GAN) t...
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11/30/2022
Score-based Continuous-time Discrete Diffusion Models
Score-based modeling through stochastic differential equations (SDEs) ha...
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11/14/2022
Learning to Optimize with Stochastic Dominance Constraints
In real-world decision-making, uncertainty is important yet difficult to...
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11/03/2022
Oracle Inequalities for Model Selection in Offline Reinforcement Learning
In offline reinforcement learning (RL), a learner leverages prior logged...
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10/22/2022
Factor Investing with a Deep Multi-Factor Model
Modeling and characterizing multiple factors is perhaps the most importa...
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10/17/2022
Rethinking Trajectory Prediction via "Team Game"
To accurately predict trajectories in multi-agent settings, e.g. team ga...
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10/17/2022
Temporal and Contextual Transformer for Multi-Camera Editing of TV Shows
The ability to choose an appropriate camera view among multiple cameras ...
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09/20/2022
Improving GANs with A Dynamic Discriminator
Discriminator plays a vital role in training generative adversarial netw...
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08/19/2022
Spectral Decomposition Representation for Reinforcement Learning
Representation learning often plays a critical role in reinforcement lea...
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07/22/2022
Transformer with Implicit Edges for Particle-based Physics Simulation
Particle-based systems provide a flexible and unified way to simulate ph...
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07/20/2022
BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis
Generative models for audio-conditioned dance motion synthesis map music...
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07/20/2022
Monocular 3D Object Reconstruction with GAN Inversion
Recovering a textured 3D mesh from a monocular image is highly challengi...
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07/14/2022
Making Linear MDPs Practical via Contrastive Representation Learning
It is common to address the curse of dimensionality in Markov decision p...
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06/29/2022
Discrete Langevin Sampler via Wasserstein Gradient Flow
Recently, a family of locally balanced (LB) samplers has demonstrated ex...
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05/30/2022
Guided Diffusion Model for Adversarial Purification
With wider application of deep neural networks (DNNs) in various algorit...
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05/25/2022
Towards Diverse and Natural Scene-aware 3D Human Motion Synthesis
The ability to synthesize long-term human motion sequences in real-world...
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05/25/2022
Accelerating Diffusion Models via Early Stop of the Diffusion Process
Denoising Diffusion Probabilistic Models (DDPMs) have achieved impressiv...
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03/31/2022
TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing
Recent advances like StyleGAN have promoted the growth of controllable f...
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03/24/2022
Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation
Generating speech-consistent body and gesture movements is a long-standi...
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03/16/2022