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Timy Phan

4 accepted papers

2026

Adapting Self-Supervised Representations as a Latent Space for Efficient Generation

ICLR 2026poster

We introduce Representation Tokenizer (RepTok), a generative modeling framework that represents an image using a single continuous latent token obtained from self-supervised vision transformers. Building on a pre-trained SSL encoder, we fine-tune only the semantic token embedding and pair it with a…

Cited by 0SourcecodeScholar
2026

Probabilistic Precipitation Nowcasting with Rectified Flow Transformers

CVPR 2026

Accurate weather forecasts are essential across various domains and are safety-critical in extreme weather conditions. Compared to simulation-based forecasting, data-driven approaches show greater efficiency, enabling short-term, high-resolution nowcasting. In particular, diffusion models proved eff

Cited by 0SourcecodeScholar
2025

TREAD: Token Routing for Efficient Architecture-agnostic Diffusion Training

ICCV 2025poster

Diffusion models have emerged as the mainstream approach for visual generation. However, these models typically suffer from sample inefficiency and high training costs. Consequently, methods for efficient finetuning, inference and personalization were quickly adopted by the community. However, train…

2025

What If: Understanding Motion Through Sparse Interactions

ICCV 2025poster

Understanding the dynamics of a physical scene involves reasoning about the diverse ways it can potentially change, especially as a result of local interactions. We present the Flow Poke Transformer (FPT), a novel framework for directly predicting the distribution of local motion, conditioned on spa…

Cited by 0SourcePDFScholar