Bo Dai

110

Papers

1,644

Total Citations

Papers (110)

Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering

Contrastive Learning for Image Captioning

NeurIPS 2017arXiv

Deep Hyperspherical Learning

NeurIPS 2017arXiv

Generalized Predictive Model for Autonomous Driving

MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model

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

LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation

DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing

Point Cloud Pre-training with Diffusion Models

Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models

ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model

Efficient Online Reinforcement Learning for Diffusion Policy

PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios

DRiVE: Diffusion-based Rigging Empowers Generation of Versatile and Expressive Characters

Horizon-GS: Unified 3D Gaussian Splatting for Large-Scale Aerial-to-Ground Scenes

GAS: Generative Avatar Synthesis from a Single Image

Keyframe-Guided Creative Video Inpainting

Multi-identity Human Image Animation with Structural Video Diffusion

BerfScene: Bev-conditioned Equivariant Radiance Fields for Infinite 3D Scene Generation

ObjectGS: Object-aware Scene Reconstruction and Scene Understanding via Gaussian Splatting

GausSim: Foreseeing Reality by Gaussian Simulator for Elastic Objects

Revisiting Skeleton-Based Action Recognition

TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing

Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition

Controllable Mesh Generation Through Sparse Latent Point Diffusion Models

Generative Diffusion Prior for Unified Image Restoration and Enhancement

Prototype-Based Embedding Network for Scene Graph Generation

Grid-Guided Neural Radiance Fields for Large Urban Scenes

Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion

Towards Diverse and Natural Image Descriptions via a Conditional GAN

Recursive Visual Sound Separation Using Minus-Plus Net

Focal Frequency Loss for Image Reconstruction and Synthesis

BlockPlanner: City Block Generation With Vectorized Graph Representation

MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond

LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis

SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling

DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-Centric Rendering

3DHumanGAN: 3D-Aware Human Image Generation with 3D Pose Mapping

AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation

Towards Multi-Layered 3D Garments Animation

OrthoPlanes: A Novel Representation for Better 3D-Awareness of GANs

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

Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation

Monocular 3D Object Reconstruction with GAN Inversion

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

BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis

Transformer with Implicit Edges for Particle-Based Physics Simulation

Extract Free Dense Labels from CLIP

BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-Scale Scene Rendering

BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models

TokenHSI: Unified Synthesis of Physical Human-Scene Interactions through Task Tokenization

EdgeTAM: On-Device Track Anything Model

FlashGS: Efficient 3D Gaussian Splatting for Large-scale and High-resolution Rendering

REINFORCE Converges to Optimal Policies with Any Learning Rate

Make-It-Vivid: Dressing Your Animatable Biped Cartoon Characters from Text

EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion

Cinematic Behavior Transfer via NeRF-based Differentiable Filming

Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning

Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation

Detecting Visual Relationships With Deep Relational Networks

Decoupled Networks

FineGym: A Hierarchical Video Dataset for Fine-Grained Action Understanding

Self-Supervised Scene De-Occlusion

Intra- and Inter-Action Understanding via Temporal Action Parsing

Temporal Pyramid Network for Action Recognition

Visually Informed Binaural Audio Generation without Binaural Audios

Scene-Aware Generative Network for Human Motion Synthesis

Unsupervised 3D Shape Completion Through GAN Inversion

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

Towards Diverse and Natural Scene-Aware 3D Human Motion Synthesis

Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification

Learning towards Minimum Hyperspherical Energy

Coupled Variational Bayes via Optimization Embedding

A Neural Compositional Paradigm for Image Captioning

Predictive Approximate Bayesian Computation via Saddle Points

Retrosynthesis Prediction with Conditional Graph Logic Network

Energy-Inspired Models: Learning with Sampler-Induced Distributions

Exponential Family Estimation via Adversarial Dynamics Embedding

DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections

Meta Architecture Search

Off-Policy Evaluation via the Regularized Lagrangian

Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach

CoinDICE: Off-Policy Confidence Interval Estimation

Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration

Off-Policy Imitation Learning from Observations

Differentiable Top-k with Optimal Transport

Escaping the Gravitational Pull of Softmax

Towards understanding retrosynthesis by energy-based models

Nearly Horizon-Free Offline Reinforcement Learning

Understanding the Effect of Stochasticity in Policy Optimization

A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis

Generative Occupancy Fields for 3D Surface-Aware Image Synthesis

Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data

Combiner: Full Attention Transformer with Sparse Computation Cost

On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games

Improving GANs with A Dynamic Discriminator

The Role of Baselines in Policy Gradient Optimization

Oracle Inequalities for Model Selection in Offline Reinforcement Learning

Learning Modulated Transformation in GANs

RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars

Learning Universal Policies via Text-Guided Video Generation

Revisiting the Evaluation of Image Synthesis with GANs

Ordering-based Conditions for Global Convergence of Policy Gradient Methods

AdaPlanner: Adaptive Planning from Feedback with Language Models

Discriminative Embeddings of Latent Variable Models for Structured Data

Stochastic Generative Hashing

Iterative Machine Teaching

Learning Steady-States of Iterative Algorithms over Graphs

SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation

Towards Black-box Iterative Machine Teaching