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20242026
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cs.CV2026

dRAE: Representation Autoencoder with Hyper-Spherical Codes

Tianren Ma, Lin Long, Chuyan Chen +4

In this work, we aim to discretize the high-dimensional visual representations to bridge the gap with language models - a non-trivial challenge, as existing quantization methods su…

cs.CV2026

AceTone: Bridging Words and Colors for Conditional Image Grading

Tianren Ma, Mingxiang Liao, Xijin Zhang +1

Color affects how we interpret image style and emotion. Previous color grading methods rely on patch-wise recoloring or fixed filter banks, struggling to generalize across creative…

cs.CV2025

ReDDiT: Rehashing Noise for Discrete Visual Generation

Tianren Ma, Xiaosong Zhang, Boyu Yang +2

In the visual generative area, discrete diffusion models are gaining traction for their efficiency and compatibility. However, pioneered attempts still fall behind their continuous…

cs.CV2024

ClawMachine: Learning to Fetch Visual Tokens for Referential Comprehension

Tianren Ma, Lingxi Xie, Yunjie Tian +2

Aligning vision and language concepts at a finer level remains an essential topic of multimodal large language models (MLLMs), particularly for tasks such as referring and groundin…

cs.CV2024

Artemis: Towards Referential Understanding in Complex Videos

Jihao Qiu, Yuan Zhang, Xi Tang +6

Videos carry rich visual information including object description, action, interaction, etc., but the existing multimodal large language models (MLLMs) fell short in referential un…

cs.CV2024

ChatterBox: Multi-round Multimodal Referring and Grounding

Yunjie Tian, Tianren Ma, Lingxi Xie +6

In this study, we establish a baseline for a new task named multimodal multi-round referring and grounding (MRG), opening up a promising direction for instance-level multimodal dia…