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Browse files- index.html +426 -19
index.html
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<html>
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| 1 |
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<!DOCTYPE html>
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| 2 |
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<html lang="en">
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| 3 |
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<head>
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| 4 |
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<meta charset="UTF-8">
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| 5 |
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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| 6 |
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<title>JarvisArt: Tech Poster</title>
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| 7 |
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<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
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| 8 |
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<style>
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| 9 |
+
:root {
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| 10 |
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--primary: #6e48aa;
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| 11 |
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--secondary: #9d50bb;
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| 12 |
+
--accent: #4776e6;
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| 13 |
+
--dark: #1a1a2e;
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| 14 |
+
--light: #f8f9fa;
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| 15 |
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--text: #333;
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| 16 |
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}
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| 17 |
+
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| 18 |
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* {
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| 19 |
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margin: 0;
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| 20 |
+
padding: 0;
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| 21 |
+
box-sizing: border-box;
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| 22 |
+
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
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| 23 |
+
}
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| 24 |
+
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| 25 |
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body {
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| 26 |
+
background-color: var(--dark);
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| 27 |
+
color: var(--light);
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| 28 |
+
line-height: 1.6;
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| 29 |
+
}
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| 30 |
+
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| 31 |
+
.poster {
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| 32 |
+
max-width: 1200px;
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| 33 |
+
margin: 2rem auto;
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| 34 |
+
background: linear-gradient(135deg, #1a1a2e 0%, #16213e 100%);
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| 35 |
+
border-radius: 15px;
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| 36 |
+
overflow: hidden;
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| 37 |
+
box-shadow: 0 20px 40px rgba(0, 0, 0, 0.3);
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| 38 |
+
position: relative;
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| 39 |
+
border: 1px solid rgba(255, 255, 255, 0.1);
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| 40 |
+
}
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| 41 |
+
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| 42 |
+
.poster::before {
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| 43 |
+
content: '';
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| 44 |
+
position: absolute;
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| 45 |
+
top: 0;
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| 46 |
+
left: 0;
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| 47 |
+
width: 100%;
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| 48 |
+
height: 100%;
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| 49 |
+
background:
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| 50 |
+
radial-gradient(circle at 20% 30%, rgba(110, 72, 170, 0.15) 0%, transparent 30%),
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| 51 |
+
radial-gradient(circle at 80% 70%, rgba(157, 80, 187, 0.15) 0%, transparent 30%);
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| 52 |
+
pointer-events: none;
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| 53 |
+
}
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| 54 |
+
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| 55 |
+
.header {
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| 56 |
+
padding: 3rem 4rem 2rem;
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| 57 |
+
background: linear-gradient(to right, var(--primary), var(--secondary));
|
| 58 |
+
position: relative;
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| 59 |
+
overflow: hidden;
|
| 60 |
+
}
|
| 61 |
+
|
| 62 |
+
.header::after {
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| 63 |
+
content: '';
|
| 64 |
+
position: absolute;
|
| 65 |
+
bottom: -50px;
|
| 66 |
+
left: 0;
|
| 67 |
+
width: 100%;
|
| 68 |
+
height: 100px;
|
| 69 |
+
background: var(--dark);
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| 70 |
+
transform: skewY(-3deg);
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| 71 |
+
z-index: 1;
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| 72 |
+
}
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| 73 |
+
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| 74 |
+
.title {
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| 75 |
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font-size: 3.5rem;
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| 76 |
+
font-weight: 800;
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| 77 |
+
margin-bottom: 1rem;
|
| 78 |
+
line-height: 1.1;
|
| 79 |
+
text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.3);
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| 80 |
+
position: relative;
|
| 81 |
+
z-index: 2;
|
| 82 |
+
}
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| 83 |
+
|
| 84 |
+
.subtitle {
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| 85 |
+
font-size: 1.5rem;
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| 86 |
+
font-weight: 300;
|
| 87 |
+
opacity: 0.9;
|
| 88 |
+
margin-bottom: 1.5rem;
|
| 89 |
+
position: relative;
|
| 90 |
+
z-index: 2;
|
| 91 |
+
}
|
| 92 |
+
|
| 93 |
+
.authors {
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| 94 |
+
display: flex;
|
| 95 |
+
flex-wrap: wrap;
|
| 96 |
+
gap: 0.5rem 1.5rem;
|
| 97 |
+
margin-bottom: 1rem;
|
| 98 |
+
position: relative;
|
| 99 |
+
z-index: 2;
|
| 100 |
+
}
|
| 101 |
+
|
| 102 |
+
.author {
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| 103 |
+
font-size: 1rem;
|
| 104 |
+
font-weight: 500;
|
| 105 |
+
}
|
| 106 |
+
|
| 107 |
+
.affiliations {
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| 108 |
+
display: flex;
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| 109 |
+
flex-wrap: wrap;
|
| 110 |
+
gap: 0.5rem 1.5rem;
|
| 111 |
+
font-size: 0.9rem;
|
| 112 |
+
opacity: 0.8;
|
| 113 |
+
margin-bottom: 1rem;
|
| 114 |
+
position: relative;
|
| 115 |
+
z-index: 2;
|
| 116 |
+
}
|
| 117 |
+
|
| 118 |
+
.project-link {
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| 119 |
+
display: inline-flex;
|
| 120 |
+
align-items: center;
|
| 121 |
+
gap: 0.5rem;
|
| 122 |
+
background: rgba(255, 255, 255, 0.1);
|
| 123 |
+
padding: 0.5rem 1rem;
|
| 124 |
+
border-radius: 50px;
|
| 125 |
+
text-decoration: none;
|
| 126 |
+
color: white;
|
| 127 |
+
font-weight: 500;
|
| 128 |
+
transition: all 0.3s ease;
|
| 129 |
+
position: relative;
|
| 130 |
+
z-index: 2;
|
| 131 |
+
}
|
| 132 |
+
|
| 133 |
+
.project-link:hover {
|
| 134 |
+
background: rgba(255, 255, 255, 0.2);
|
| 135 |
+
transform: translateY(-2px);
|
| 136 |
+
}
|
| 137 |
+
|
| 138 |
+
.content {
|
| 139 |
+
display: grid;
|
| 140 |
+
grid-template-columns: 1fr 1fr;
|
| 141 |
+
gap: 2rem;
|
| 142 |
+
padding: 3rem 4rem;
|
| 143 |
+
position: relative;
|
| 144 |
+
z-index: 2;
|
| 145 |
+
}
|
| 146 |
+
|
| 147 |
+
.abstract {
|
| 148 |
+
grid-column: 1 / -1;
|
| 149 |
+
background: rgba(255, 255, 255, 0.05);
|
| 150 |
+
padding: 2rem;
|
| 151 |
+
border-radius: 10px;
|
| 152 |
+
border-left: 4px solid var(--accent);
|
| 153 |
+
}
|
| 154 |
+
|
| 155 |
+
.abstract-title {
|
| 156 |
+
font-size: 1.5rem;
|
| 157 |
+
margin-bottom: 1rem;
|
| 158 |
+
color: var(--accent);
|
| 159 |
+
}
|
| 160 |
+
|
| 161 |
+
.abstract-text {
|
| 162 |
+
font-size: 1.1rem;
|
| 163 |
+
line-height: 1.7;
|
| 164 |
+
}
|
| 165 |
+
|
| 166 |
+
.highlight {
|
| 167 |
+
color: var(--accent);
|
| 168 |
+
font-weight: 600;
|
| 169 |
+
}
|
| 170 |
+
|
| 171 |
+
.features {
|
| 172 |
+
display: grid;
|
| 173 |
+
grid-template-columns: 1fr;
|
| 174 |
+
gap: 1.5rem;
|
| 175 |
+
}
|
| 176 |
+
|
| 177 |
+
.feature {
|
| 178 |
+
background: rgba(255, 255, 255, 0.05);
|
| 179 |
+
padding: 1.5rem;
|
| 180 |
+
border-radius: 10px;
|
| 181 |
+
transition: all 0.3s ease;
|
| 182 |
+
}
|
| 183 |
+
|
| 184 |
+
.feature:hover {
|
| 185 |
+
transform: translateY(-5px);
|
| 186 |
+
box-shadow: 0 10px 20px rgba(0, 0, 0, 0.2);
|
| 187 |
+
}
|
| 188 |
+
|
| 189 |
+
.feature-title {
|
| 190 |
+
font-size: 1.2rem;
|
| 191 |
+
margin-bottom: 0.5rem;
|
| 192 |
+
color: var(--accent);
|
| 193 |
+
display: flex;
|
| 194 |
+
align-items: center;
|
| 195 |
+
gap: 0.5rem;
|
| 196 |
+
}
|
| 197 |
+
|
| 198 |
+
.feature-icon {
|
| 199 |
+
font-size: 1.5rem;
|
| 200 |
+
}
|
| 201 |
+
|
| 202 |
+
.feature-text {
|
| 203 |
+
font-size: 1rem;
|
| 204 |
+
opacity: 0.9;
|
| 205 |
+
}
|
| 206 |
+
|
| 207 |
+
.image-container {
|
| 208 |
+
position: relative;
|
| 209 |
+
border-radius: 10px;
|
| 210 |
+
overflow: hidden;
|
| 211 |
+
box-shadow: 0 10px 20px rgba(0, 0, 0, 0.3);
|
| 212 |
+
height: 100%;
|
| 213 |
+
display: flex;
|
| 214 |
+
align-items: center;
|
| 215 |
+
justify-content: center;
|
| 216 |
+
}
|
| 217 |
+
|
| 218 |
+
.image-container img {
|
| 219 |
+
width: 100%;
|
| 220 |
+
height: auto;
|
| 221 |
+
object-fit: cover;
|
| 222 |
+
transition: transform 0.5s ease;
|
| 223 |
+
}
|
| 224 |
+
|
| 225 |
+
.image-container:hover img {
|
| 226 |
+
transform: scale(1.03);
|
| 227 |
+
}
|
| 228 |
+
|
| 229 |
+
.image-caption {
|
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+
position: absolute;
|
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+
bottom: 0;
|
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+
left: 0;
|
| 233 |
+
right: 0;
|
| 234 |
+
background: rgba(0, 0, 0, 0.7);
|
| 235 |
+
padding: 1rem;
|
| 236 |
+
font-size: 0.9rem;
|
| 237 |
+
text-align: center;
|
| 238 |
+
}
|
| 239 |
+
|
| 240 |
+
.stats {
|
| 241 |
+
display: grid;
|
| 242 |
+
grid-template-columns: repeat(2, 1fr);
|
| 243 |
+
gap: 1.5rem;
|
| 244 |
+
margin-top: 1.5rem;
|
| 245 |
+
}
|
| 246 |
+
|
| 247 |
+
.stat {
|
| 248 |
+
background: rgba(255, 255, 255, 0.05);
|
| 249 |
+
padding: 1.5rem;
|
| 250 |
+
border-radius: 10px;
|
| 251 |
+
text-align: center;
|
| 252 |
+
}
|
| 253 |
+
|
| 254 |
+
.stat-value {
|
| 255 |
+
font-size: 2.5rem;
|
| 256 |
+
font-weight: 700;
|
| 257 |
+
color: var(--accent);
|
| 258 |
+
margin-bottom: 0.5rem;
|
| 259 |
+
}
|
| 260 |
+
|
| 261 |
+
.stat-label {
|
| 262 |
+
font-size: 0.9rem;
|
| 263 |
+
opacity: 0.8;
|
| 264 |
+
}
|
| 265 |
+
|
| 266 |
+
.footer {
|
| 267 |
+
padding: 2rem 4rem;
|
| 268 |
+
background: rgba(0, 0, 0, 0.3);
|
| 269 |
+
text-align: center;
|
| 270 |
+
font-size: 0.9rem;
|
| 271 |
+
opacity: 0.7;
|
| 272 |
+
position: relative;
|
| 273 |
+
z-index: 2;
|
| 274 |
+
}
|
| 275 |
+
|
| 276 |
+
@media (max-width: 992px) {
|
| 277 |
+
.content {
|
| 278 |
+
grid-template-columns: 1fr;
|
| 279 |
+
padding: 2rem;
|
| 280 |
+
}
|
| 281 |
+
|
| 282 |
+
.title {
|
| 283 |
+
font-size: 2.5rem;
|
| 284 |
+
}
|
| 285 |
+
|
| 286 |
+
.subtitle {
|
| 287 |
+
font-size: 1.2rem;
|
| 288 |
+
}
|
| 289 |
+
|
| 290 |
+
.header {
|
| 291 |
+
padding: 2rem;
|
| 292 |
+
}
|
| 293 |
+
}
|
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+
|
| 295 |
+
@media (max-width: 576px) {
|
| 296 |
+
.title {
|
| 297 |
+
font-size: 2rem;
|
| 298 |
+
}
|
| 299 |
+
|
| 300 |
+
.subtitle {
|
| 301 |
+
font-size: 1rem;
|
| 302 |
+
}
|
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+
|
| 304 |
+
.header {
|
| 305 |
+
padding: 1.5rem;
|
| 306 |
+
}
|
| 307 |
+
|
| 308 |
+
.content {
|
| 309 |
+
padding: 1.5rem;
|
| 310 |
+
}
|
| 311 |
+
|
| 312 |
+
.abstract {
|
| 313 |
+
padding: 1.5rem;
|
| 314 |
+
}
|
| 315 |
+
|
| 316 |
+
.stats {
|
| 317 |
+
grid-template-columns: 1fr;
|
| 318 |
+
}
|
| 319 |
+
}
|
| 320 |
+
</style>
|
| 321 |
+
</head>
|
| 322 |
+
<body>
|
| 323 |
+
<div class="poster">
|
| 324 |
+
<div class="header">
|
| 325 |
+
<h1 class="title">JarvisArt</h1>
|
| 326 |
+
<p class="subtitle">Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent</p>
|
| 327 |
+
<div class="authors">
|
| 328 |
+
<span class="author">Yunlong Lin*</span>
|
| 329 |
+
<span class="author">Zixu Lin*</span>
|
| 330 |
+
<span class="author">Kunjie Lin*</span>
|
| 331 |
+
<span class="author">Jinbin Bai</span>
|
| 332 |
+
<span class="author">Panwang Pan</span>
|
| 333 |
+
<span class="author">Chenxin Li</span>
|
| 334 |
+
<span class="author">Haoyu Chen</span>
|
| 335 |
+
<span class="author">Zhongdao Wang</span>
|
| 336 |
+
<span class="author">Xinghao Ding†</span>
|
| 337 |
+
<span class="author">Wenbo Li♣</span>
|
| 338 |
+
<span class="author">Shuicheng Yan†</span>
|
| 339 |
+
</div>
|
| 340 |
+
<div class="affiliations">
|
| 341 |
+
<span>Xiamen University</span>
|
| 342 |
+
<span>HKUST(GZ)</span>
|
| 343 |
+
<span>CUHK</span>
|
| 344 |
+
<span>Bytedance</span>
|
| 345 |
+
<span>NUS</span>
|
| 346 |
+
<span>Tsinghua University</span>
|
| 347 |
+
</div>
|
| 348 |
+
<a href="https://jarvisart.vercel.app/" class="project-link" target="_blank">
|
| 349 |
+
<i class="fas fa-external-link-alt"></i>
|
| 350 |
+
Project Page
|
| 351 |
+
</a>
|
| 352 |
+
</div>
|
| 353 |
+
|
| 354 |
+
<div class="content">
|
| 355 |
+
<div class="abstract">
|
| 356 |
+
<h2 class="abstract-title">Abstract</h2>
|
| 357 |
+
<p class="abstract-text">
|
| 358 |
+
We introduce <span class="highlight">JarvisArt</span>, a multi-modal large language model (MLLM)-driven agent that understands user intent, mimics professional artists' reasoning, and intelligently coordinates over <span class="highlight">200 retouching tools</span> within Lightroom. JarvisArt undergoes a two-stage training process and demonstrates <span class="highlight">user-friendly interaction</span>, superior generalization, and fine-grained control over both global and local adjustments. Notably, it outperforms GPT-4o with a <span class="highlight">60% improvement</span> in average pixel-level metrics on our MMArt-Bench benchmark while maintaining comparable instruction-following capabilities.
|
| 359 |
+
</p>
|
| 360 |
+
</div>
|
| 361 |
+
|
| 362 |
+
<div class="features">
|
| 363 |
+
<div class="feature">
|
| 364 |
+
<h3 class="feature-title">
|
| 365 |
+
<i class="fas fa-brain feature-icon"></i>
|
| 366 |
+
Professional Reasoning
|
| 367 |
+
</h3>
|
| 368 |
+
<p class="feature-text">
|
| 369 |
+
Mimics the reasoning process of professional artists through Chain-of-Thought supervised fine-tuning and GRPO-R optimization.
|
| 370 |
+
</p>
|
| 371 |
+
</div>
|
| 372 |
+
|
| 373 |
+
<div class="feature">
|
| 374 |
+
<h3 class="feature-title">
|
| 375 |
+
<i class="fas fa-tools feature-icon"></i>
|
| 376 |
+
Comprehensive Toolset
|
| 377 |
+
</h3>
|
| 378 |
+
<p class="feature-text">
|
| 379 |
+
Intelligently coordinates over 200 retouching tools within Lightroom for both global and local adjustments.
|
| 380 |
+
</p>
|
| 381 |
+
</div>
|
| 382 |
+
|
| 383 |
+
<div class="feature">
|
| 384 |
+
<h3 class="feature-title">
|
| 385 |
+
<i class="fas fa-user-astronaut feature-icon"></i>
|
| 386 |
+
User-Friendly Interaction
|
| 387 |
+
</h3>
|
| 388 |
+
<p class="feature-text">
|
| 389 |
+
Supports intuitive, free-form edits through natural inputs like text prompts, bounding boxes, or brushstrokes.
|
| 390 |
+
</p>
|
| 391 |
+
</div>
|
| 392 |
+
</div>
|
| 393 |
+
|
| 394 |
+
<div class="image-container">
|
| 395 |
+
<img src="https://cdn.vansin.top/papers/2506.17612/images/b1b85618f6f156005dab98b71efac19eb8379eb249721ebe9c59ebcd55ca3412.jpg" alt="JarvisArt Interface">
|
| 396 |
+
<div class="image-caption">
|
| 397 |
+
Figure 1: JarvisArt supports multi-granularity retouching through natural inputs and edits any-resolution images.
|
| 398 |
+
</div>
|
| 399 |
+
</div>
|
| 400 |
+
|
| 401 |
+
<div class="stats">
|
| 402 |
+
<div class="stat">
|
| 403 |
+
<div class="stat-value">200+</div>
|
| 404 |
+
<div class="stat-label">Retouching Tools</div>
|
| 405 |
+
</div>
|
| 406 |
+
<div class="stat">
|
| 407 |
+
<div class="stat-value">60%</div>
|
| 408 |
+
<div class="stat-label">Improvement over GPT-4o</div>
|
| 409 |
+
</div>
|
| 410 |
+
<div class="stat">
|
| 411 |
+
<div class="stat-value">55K</div>
|
| 412 |
+
<div class="stat-label">Training Samples</div>
|
| 413 |
+
</div>
|
| 414 |
+
<div class="stat">
|
| 415 |
+
<div class="stat-value">∞</div>
|
| 416 |
+
<div class="stat-label">Image Resolution Support</div>
|
| 417 |
+
</div>
|
| 418 |
+
</div>
|
| 419 |
+
</div>
|
| 420 |
+
|
| 421 |
+
<div class="footer">
|
| 422 |
+
JarvisArt: A new paradigm for intelligent photo retouching | https://jarvisart.vercel.app/
|
| 423 |
+
</div>
|
| 424 |
+
</div>
|
| 425 |
+
</body>
|
| 426 |
+
</html>
|