b'Bo Dai'

research

∙ 09/19/2023

Interpret Vision Transformers as ConvNets with Dynamic Convolutions

There has been a debate about the superiority between vision Transformer...

0 Chong Zhou, et al. ∙

research

∙ 09/14/2023

Unified Human-Scene Interaction via Prompted Chain-of-Contacts

Human-Scene Interaction (HSI) is a vital component of fields like embodi...

0 Zeqi Xiao, et al. ∙

research

∙ 08/29/2023

Learning Modulated Transformation in GANs

The success of style-based generators largely benefits from style modula...

0 Ceyuan Yang, et al. ∙

research

∙ 08/29/2023

DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

We present DiffBIR, which leverages pretrained text-to-image diffusion m...

0 Xinqi Lin, et al. ∙

research

∙ 08/21/2023

X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events

Intuitive physics is pivotal for human understanding of the physical wor...

0 Bo Dai, et al. ∙

research

∙ 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 ...

0 Xudong Xu, et al. ∙

research

∙ 08/11/2023

DF2: Distribution-Free Decision-Focused Learning

Decision-focused learning (DFL) has recently emerged as a powerful appro...

0 Lingkai Kong, et al. ∙

research

∙ 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...

0 Yuwei Guo, et al. ∙

research

∙ 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...

12 Zikai Wei, et al. ∙

research

∙ 06/02/2023

Probabilistic Adaptation of Text-to-Video Models

Large text-to-video models trained on internet-scale data have demonstra...

5 Mengjiao Yang, et al. ∙

research

∙ 06/01/2023

Controllable Motion Diffusion Model

Generating realistic and controllable motions for virtual characters is ...

17 Yi Shi, et al. ∙

research

∙ 05/26/2023

AdaPlanner: Adaptive Planning from Feedback with Language Models

Large language models (LLMs) have recently demonstrated the potential in...

0 Haotian Sun, et al. ∙

research

∙ 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...

0 Zikai Wei, et al. ∙

research

∙ 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...

3 Dongwei Pan, et al. ∙

research

∙ 05/17/2023

Towards Multi-Layered 3D Garments Animation

Mimicking realistic dynamics in 3D garment animations is a challenging t...

3 Yidi Shao, et al. ∙

research

∙ 05/06/2023

LEO: Generative Latent Image Animator for Human Video Synthesis

Spatio-temporal coherency is a major challenge in synthesizing high qual...

5 Yaohui Wang, et al. ∙

research

∙ 04/08/2023

Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding

Optimal control is notoriously difficult for stochastic nonlinear system...

11 Tongzheng Ren, et al. ∙

research

∙ 04/04/2023

Revisiting the Evaluation of Image Synthesis with GANs

A good metric, which promises a reliable comparison between solutions, i...

4 Mengping Yang, et al. ∙

research

∙ 04/03/2023

Generative Diffusion Prior for Unified Image Restoration and Enhancement

Existing image restoration methods mostly leverage the posterior distrib...

0 Ben Fei, et al. ∙

research

∙ 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...

1 Zhitao Yang, et al. ∙

research

∙ 03/24/2023

Grid-guided Neural Radiance Fields for Large Urban Scenes

Purely MLP-based neural radiance fields (NeRF-based methods) often suffe...

10 Linning Xu, et al. ∙

research

∙ 03/24/2023

AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation

Both indoor and outdoor environments are inherently structured and repet...

0 Yuanbo Xiangli, et al. ∙

research

∙ 03/23/2023

Task-Oriented Human-Object Interactions Generation with Implicit Neural Representations

Digital human motion synthesis is a vibrant research field with applicat...

6 Quanzhou Li, et al. ∙

research

∙ 03/18/2023

3D Data Augmentation for Driving Scenes on Camera

Driving scenes are extremely diverse and complicated that it is impossib...

1 Wenwen Tong, et al. ∙

research

∙ 03/14/2023

Controllable Mesh Generation Through Sparse Latent Point Diffusion Models

Mesh generation is of great value in various applications involving comp...

0 Zhaoyang Lyu, et al. ∙

research

∙ 03/13/2023

Prototype-based Embedding Network for Scene Graph Generation

Current Scene Graph Generation (SGG) methods explore contextual informat...

4 Chaofan Zheng, et al. ∙

research

∙ 01/31/2023

Learning Universal Policies via Text-Guided Video Generation

A goal of artificial intelligence is to construct an agent that can solv...

7 Yilun Du, et al. ∙

research

∙ 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 ...

1 Anyi Rao, et al. ∙

research

∙ 01/16/2023

The Role of Baselines in Policy Gradient Optimization

We study the effect of baselines in on-policy stochastic policy gradient...

12 Jincheng Mei, et al. ∙

research

∙ 12/17/2022

Latent Variable Representation for Reinforcement Learning

Deep latent variable models have achieved significant empirical successe...

10 Tongzheng Ren, et al. ∙

research

∙ 12/14/2022

3DHumanGAN: Towards Photo-Realistic 3D-Aware Human Image Generation

We present 3DHumanGAN, a 3D-aware generative adversarial network (GAN) t...

9 Zhuoqian Yang, et al. ∙

research

∙ 11/30/2022

Score-based Continuous-time Discrete Diffusion Models

Score-based modeling through stochastic differential equations (SDEs) ha...

15 Haoran Sun, et al. ∙

research

∙ 11/14/2022

Learning to Optimize with Stochastic Dominance Constraints

In real-world decision-making, uncertainty is important yet difficult to...

18 Hanjun Dai, et al. ∙

research

∙ 11/03/2022

Oracle Inequalities for Model Selection in Offline Reinforcement Learning

In offline reinforcement learning (RL), a learner leverages prior logged...

3 Jonathan N. Lee, et al. ∙

research

∙ 10/22/2022

Factor Investing with a Deep Multi-Factor Model

Modeling and characterizing multiple factors is perhaps the most importa...

8 Zikai Wei, et al. ∙

research

∙ 10/17/2022

Rethinking Trajectory Prediction via "Team Game"

To accurately predict trajectories in multi-agent settings, e.g. team ga...

1 Zikai Wei, et al. ∙

research

∙ 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 ...

4 Anyi Rao, et al. ∙

research

∙ 09/20/2022

Improving GANs with A Dynamic Discriminator

Discriminator plays a vital role in training generative adversarial netw...

7 Ceyuan Yang, et al. ∙

research

∙ 08/19/2022

Spectral Decomposition Representation for Reinforcement Learning

Representation learning often plays a critical role in reinforcement lea...

6 Tongzheng Ren, et al. ∙

research

∙ 07/22/2022

Transformer with Implicit Edges for Particle-based Physics Simulation

Particle-based systems provide a flexible and unified way to simulate ph...

14 Yidi Shao, et al. ∙

research

∙ 07/20/2022

BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis

Generative models for audio-conditioned dance motion synthesis map music...

1 Davide Moltisanti, et al. ∙

research

∙ 07/20/2022

Monocular 3D Object Reconstruction with GAN Inversion

Recovering a textured 3D mesh from a monocular image is highly challengi...

1 Junzhe Zhang, et al. ∙

research

∙ 07/14/2022

Making Linear MDPs Practical via Contrastive Representation Learning

It is common to address the curse of dimensionality in Markov decision p...

3 Tianjun Zhang, et al. ∙

research

∙ 06/29/2022

Discrete Langevin Sampler via Wasserstein Gradient Flow

Recently, a family of locally balanced (LB) samplers has demonstrated ex...

2 Haoran Sun, et al. ∙

research

∙ 05/30/2022

Guided Diffusion Model for Adversarial Purification

With wider application of deep neural networks (DNNs) in various algorit...

3 Jinyi Wang, et al. ∙

research

∙ 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...

13 Jingbo Wang, et al. ∙

research

∙ 05/25/2022

Accelerating Diffusion Models via Early Stop of the Diffusion Process

Denoising Diffusion Probabilistic Models (DDPMs) have achieved impressiv...

21 Zhaoyang Lyu, et al. ∙

research

∙ 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...

5 Yanbo Xu, et al. ∙

research

∙ 03/24/2022

Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation

Generating speech-consistent body and gesture movements is a long-standi...

0 Xian Liu, et al. ∙

research

∙ 03/16/2022

DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation

This paper proposes a simple baseline framework for video-based 2D/3D hu...

6 Ailing Zeng, et al. ∙

Bo Dai

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