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CVL, ETH Zurich
- Zurich, Switzerland
- https://ha0tang.github.io/
- @HaoTang_ai
Stars
2021年最新总结,推荐工程师合适读本,计算机科学,软件技术,创业,思想类,数学类,人物传记书籍
[3DV 2026] 3D CoCa: Contrastive Learners are 3D Captioners
[IROS 2025] CRUISE: Cooperative Reconstruction and Editing in V2X Scenarios using Gaussian Splatting
[MM 2025] EventVAD: Training-Free Event-Aware Video Anomaly Detection
[NeurIPS'25 Spotlight🔥] Official Implementation of RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness
[ICRA 2026] StereoAdapter: Adapting Stereo Depth Estimation to Underwater Scenes
[NeurIPS'25 | CVPR'26] The official repo of OralGPT & MMOral Bench.
Nav-R1: Reasoning and Navigation in Embodied Scenes
[NeurIPS 2026 Reviewed (5/4/4 - A/WA/WA)] 3D-R1: Enhancing Reasoning in 3D VLMs for Unified Scene Understanding
[CVPR 2025] Offical Code Implementation for PartRM
Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution
[CVPR'25] Official Implementation of MambaIC: State Space Models for High-Performance Learned Image Compression
[TVCG 2026] Official repo of "DreamBarbie: Text to Barbie-Style 3D Avatars“
[PR 2025] GraphMLP: A Graph MLP-Like Architecture for 3D Human Pose Estimation
Efficient and Online Dataset Growth Algorithm (with cleanness and diversity awareness) to deal with growing web data
The repository is dedicated to tracking the latest advances in the field of Physical Adversarial Attack (PAA).
[ECCV2024] StoryImager: A Unified and Efficient Framework for Coherent Story Visualization and Completion
Pytorch Implementation of "SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation"(CVPR 2024)
SpeeD: A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training
https://camera-agnostic.github.io/
We introduce a novel approach for parameter generation, named neural network parameter diffusion (p-diff), which employs a standard latent diffusion model to synthesize a new set of parameters
[NeurIPS 2024] Official implementation of "Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models"
[ICCV2023] Dataset Quantization


