Bo Dai

PSDiffusion: Harmonized Multi-Layer Image Generation via Layout and Appearance Alignment WACV 2026 Reasoning with Exploration: An Entropy Perspective AAAI 2026 Primal-Dual Spectral Representation for Off-policy Evaluation AISTATS 2025 Faster WIND: Accelerating Iterative Best-of-$N$ Distillation for LLM Alignment AISTATS 2025 Scalable spectral representations for multiagent reinforcement learning in network MDPs AISTATS 2025 Spectral Representation for Causal Estimation with Hidden Confounders AISTATS 2025 GaussianAnything: Interactive Point Cloud Flow Matching for 3D Generation ICLR 2025 CameraCtrl: Enabling Camera Control for Video Diffusion Models ICLR 2025 Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models ICLR 2025 EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing ICLR 2025 Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF ICLR 2025 ObjectGS: Object-aware Scene Reconstruction and Scene Understanding via Gaussian Splatting ICCV 2025 GausSim: Foreseeing Reality by Gaussian Simulator for Elastic Objects ICCV 2025 GAS: Generative Avatar Synthesis from a Single Image ICCV 2025 Multi-identity Human Image Animation with Structural Video Diffusion ICCV 2025 On Domain-Adaptive Post-Training for Multimodal Large Language Models EMNLP 2025 EdgeTAM: On-Device Track Anything Model CVPR 2025 DF$^2$: Distribution-Free Decision-Focused Learning UAI 2025 Efficient Duple Perturbation Robustness in Low-rank MDPs L4DC 2025 Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games ICML 2025 Keyframe-Guided Creative Video Inpainting CVPR 2025 ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model CVPR 2025 TokenHSI: Unified Synthesis of Physical Human-Scene Interactions through Task Tokenization CVPR 2025 DRiVE: Diffusion-based Rigging Empowers Generation of Versatile and Expressive Characters CVPR 2025 Horizon-GS: Unified 3D Gaussian Splatting for Large-Scale Aerial-to-Ground Scenes CVPR 2025 FlashGS: Efficient 3D Gaussian Splatting for Large-scale and High-resolution Rendering CVPR 2025 Efficient Online Reinforcement Learning for Diffusion Policy ICML 2025 Text to Layer-wise 3D Clothed Human Generation ECCV 2024 MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model ECCV 2024 LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation ECCV 2024 SemGrasp: Semantic Grasp Generation via Language Aligned Discretization ECCV 2024 Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering CVPR 2024 Generalized Predictive Model for Autonomous Driving CVPR 2024 Make-It-Vivid: Dressing Your Animatable Biped Cartoon Characters from Text CVPR 2024 Task-Oriented Human-Object Interactions Generation With Implicit Neural Representations WACV 2024 Point Cloud Pre-training with Diffusion Models CVPR 2024 EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion CVPR 2024 DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing CVPR 2024 HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation NIPS 2024 PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios CVPR 2024 Cinematic Behavior Transfer via NeRF-based Differentiable Filming CVPR 2024 BerfScene: Bev-conditioned Equivariant Radiance Fields for Infinite 3D Scene Generation CVPR 2024 BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models ICML 2024 Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation ICML 2024 PhyRecon: Physically Plausible Neural Scene Reconstruction NIPS 2024 UQE: A Query Engine for Unstructured Databases NIPS 2024 Learning 3D Garment Animation from Trajectories of A Piece of Cloth NIPS 2024 Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates NIPS 2024 Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text NIPS 2024 AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning ICLR 2024 Unified Human-Scene Interaction via Prompted Chain-of-Contacts ICLR 2024 Probabilistic Adaptation of Black-Box Text-to-Video Models ICLR 2024 HYDRA: Model Factorization Framework for Black-Box LLM Personalization NIPS 2024 InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint NIPS 2024 Diffusion Spectral Representation for Reinforcement Learning NIPS 2024 GSDF: 3DGS Meets SDF for Improved Neural Rendering and Reconstruction NIPS 2024 Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning ICML 2024 RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting ECCV 2024 DiffBIR: Toward Blind Image Restoration with Generative Diffusion Prior ECCV 2024 SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models ECCV 2024 Score-based Continuous-time Discrete Diffusion Models ICLR 2023 Learning Modulated Transformation in GANs NIPS 2023 RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars NIPS 2023 Learning Universal Policies via Text-Guided Video Generation NIPS 2023 Revisiting the Evaluation of Image Synthesis with GANs NIPS 2023 Ordering-based Conditions for Global Convergence of Policy Gradient Methods NIPS 2023 AdaPlanner: Adaptive Planning from Feedback with Language Models NIPS 2023 Discrete Langevin Samplers via Wasserstein Gradient Flow AISTATS 2023 Learning to Optimize with Stochastic Dominance Constraints AISTATS 2023 Controllable Mesh Generation Through Sparse Latent Point Diffusion Models CVPR 2023 Generative Diffusion Prior for Unified Image Restoration and Enhancement CVPR 2023 Prototype-Based Embedding Network for Scene Graph Generation CVPR 2023 Grid-Guided Neural Radiance Fields for Large Urban Scenes CVPR 2023 Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion CVPR 2023 On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval EMNLP 2023 MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond ICCV 2023 LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis ICCV 2023 SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling ICCV 2023 DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-Centric Rendering ICCV 2023 3DHumanGAN: 3D-Aware Human Image Generation with 3D Pose Mapping ICCV 2023 AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation ICCV 2023 Towards Multi-Layered 3D Garments Animation ICCV 2023 OrthoPlanes: A Novel Representation for Better 3D-Awareness of GANs ICCV 2023 X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events ICCV 2023 Any-scale Balanced Samplers for Discrete Space ICLR 2023 Latent Variable Representation for Reinforcement Learning ICLR 2023 Spectral Decomposition Representation for Reinforcement Learning ICLR 2023 Stochastic Gradient Succeeds for Bandits ICML 2023 HireVAE: An Online and Adaptive Factor Model Based on Hierarchical and Regime-Switch VAE IJCAI 2023 Energy-based Predictive Representations for Partially Observed Reinforcement Learning UAI 2023 Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation CVPR 2022 Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence Minimization ICML 2022 SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction EMNLP 2022 A free lunch from the noise: Provable and practical exploration for representation learning UAI 2022 Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition CVPR 2022 Neural Stochastic Dual Dynamic Programming ICLR 2022 Understanding and Leveraging Overparameterization in Recursive Value Estimation ICLR 2022 Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations AAAI 2022 Oracle Inequalities for Model Selection in Offline Reinforcement Learning NIPS 2022 TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing CVPR 2022 Revisiting Skeleton-Based Action Recognition CVPR 2022 Towards Diverse and Natural Scene-Aware 3D Human Motion Synthesis CVPR 2022 Monocular 3D Object Reconstruction with GAN Inversion ECCV 2022 DeciWatch: A Simple Baseline for 10× Efficient 2D and 3D Pose Estimation ECCV 2022 BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis ECCV 2022 Transformer with Implicit Edges for Particle-Based Physics Simulation ECCV 2022 Extract Free Dense Labels from CLIP ECCV 2022 BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-Scale Scene Rendering ECCV 2022 The Role of Baselines in Policy Gradient Optimization NIPS 2022 Improving GANs with A Dynamic Discriminator NIPS 2022 On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games NIPS 2022 Offline Policy Selection under Uncertainty AISTATS 2022 The Curse of Passive Data Collection in Batch Reinforcement Learning AISTATS 2022 Making Linear MDPs Practical via Contrastive Representation Learning ICML 2022 Model Selection in Batch Policy Optimization ICML 2022 A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis NIPS 2021 Combiner: Full Attention Transformer with Sparse Computation Cost NIPS 2021 Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data NIPS 2021 Generative Occupancy Fields for 3D Surface-Aware Image Synthesis NIPS 2021 Learning to Defend by Learning to Attack AISTATS 2021 Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach EMNLP 2021 Understanding the Effect of Stochasticity in Policy Optimization NIPS 2021 Focal Frequency Loss for Image Reconstruction and Synthesis ICCV 2021 BlockPlanner: City Block Generation With Vectorized Graph Representation ICCV 2021 Nearly Horizon-Free Offline Reinforcement Learning NIPS 2021 Towards understanding retrosynthesis by energy-based models NIPS 2021 Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs ICLR 2021 Overcoming Catastrophic Forgetting by Bayesian Generative Regularization ICML 2021 Leveraging Non-uniformity in First-order Non-convex Optimization ICML 2021 Visually Informed Binaural Audio Generation without Binaural Audios CVPR 2021 Scene-Aware Generative Network for Human Motion Synthesis CVPR 2021 Unsupervised 3D Shape Completion Through GAN Inversion CVPR 2021 LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs ICML 2021 On the Optimality of Batch Policy Optimization Algorithms ICML 2021 Self-Supervised Scene De-Occlusion CVPR 2020 Energy-Based Processes for Exchangeable Data ICML 2020 Batch Stationary Distribution Estimation ICML 2020 Differentiable Top-k with Optimal Transport NIPS 2020 Off-Policy Imitation Learning from Observations NIPS 2020 Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration NIPS 2020 CoinDICE: Off-Policy Confidence Interval Estimation NIPS 2020 Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach NIPS 2020 Off-Policy Evaluation via the Regularized Lagrangian NIPS 2020 FineGym: A Hierarchical Video Dataset for Fine-Grained Action Understanding CVPR 2020 Temporal Pyramid Network for Action Recognition CVPR 2020 Intra- and Inter-Action Understanding via Temporal Action Parsing CVPR 2020 Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees ICLR 2020 Scalable Deep Generative Modeling for Sparse Graphs ICML 2020 Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation ECCV 2020 Named Entity Recognition for Social Media Texts with Semantic Augmentation EMNLP 2020 Escaping the Gravitational Pull of Softmax NIPS 2020 Feature Intertwiner for Object Detection ICLR 2019 Exponential Family Estimation via Adversarial Dynamics Embedding NIPS 2019 Meta Architecture Search NIPS 2019 Retrosynthesis Prediction with Conditional Graph Logic Network NIPS 2019 Recursive Visual Sound Separation Using Minus-Plus Net ICCV 2019 Energy-Inspired Models: Learning with Sampler-Induced Distributions NIPS 2019 Kernel Exponential Family Estimation via Doubly Dual Embedding AISTATS 2019 DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections NIPS 2019 Move Forward and Tell: A Progressive Generator of Video Descriptions ECCV 2018 Syntax-Directed Variational Autoencoder for Structured Data ICLR 2018 Boosting the Actor with Dual Critic ICLR 2018 Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification NIPS 2018 Learning Steady-States of Iterative Algorithms over Graphs ICML 2018 SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation ICML 2018 Towards Black-box Iterative Machine Teaching ICML 2018 Decoupled Networks CVPR 2018 Rethinking the Form of Latent States in Image Captioning ECCV 2018 Multi-scale Nystrom Method AISTATS 2018 Predictive Approximate Bayesian Computation via Saddle Points NIPS 2018 A Neural Compositional Paradigm for Image Captioning NIPS 2018 Coupled Variational Bayes via Optimization Embedding NIPS 2018 Structured Inference for Recurrent Hidden Semi-markov Model IJCAI 2018 Learning towards Minimum Hyperspherical Energy NIPS 2018 Detecting Visual Relationships With Deep Relational Networks CVPR 2017 Deep Hyperspherical Learning NIPS 2017 Contrastive Learning for Image Captioning NIPS 2017 Towards Diverse and Natural Image Descriptions via a Conditional GAN ICCV 2017 Learning from Conditional Distributions via Dual Embeddings AISTATS 2017 Iterative Machine Teaching ICML 2017 Stochastic Generative Hashing ICML 2017 Discriminative Embeddings of Latent Variable Models for Structured Data ICML 2016 Provable Bayesian Inference via Particle Mirror Descent AISTATS 2016 Nonparametric Estimation of Multi-View Latent Variable Models ICML 2014 Scalable Kernel Methods via Doubly Stochastic Gradients NIPS 2014 Transductive Learning with Multi-class Volume Approximation ICML 2014 Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning ICML 2013 Robust Low Rank Kernel Embeddings of Multivariate Distributions NIPS 2013 Maximum Volume Clustering: A New Discriminative Clustering Approach JMLR 2013 Maximum Volume Clustering AISTATS 2011 Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering ACML 2010